System manufacturer System Product Name
Geekbench ML Score
20358
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | Technoguide |
| Upload Date | September 07 2024 04:34 AM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME X299-A II |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-10900X |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 7 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 10 Cores |
| L1 Instruction Cache | 32.0 KB x 10 |
| L1 Data Cache | 32.0 KB x 10 |
| L2 Cache | 1.00 MB x 10 |
| L3 Cache | 19.2 MB x 1 |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
8551
1.60 KIPS |
|
|
Image Classification (F16)
|
100% |
8818
1.65 KIPS |
|
|
Image Classification (I8)
|
100% |
7975
1.49 KIPS |
|
|
Image Segmentation (F32)
|
100% |
9751
162.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
9924
165.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
9428
157.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
248150
300.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
250301
303.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
219206
265.4 IPS |
|
|
Object Detection (F32)
|
100% |
4857
362.6 IPS |
|
|
Object Detection (F16)
|
100% |
4781
357.0 IPS |
|
|
Object Detection (I8)
|
54% |
4728
353.0 IPS |
|
|
Face Detection (F32)
|
100% |
26836
319.1 IPS |
|
|
Face Detection (F16)
|
100% |
26535
315.5 IPS |
|
|
Face Detection (I8)
|
88% |
23369
277.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
70504
546.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
73190
567.6 IPS |
|
|
Depth Estimation (I8)
|
94% |
57641
447.0 IPS |
|
|
Style Transfer (F32)
|
100% |
407594
536.2 IPS |
|
|
Style Transfer (F16)
|
100% |
406939
535.3 IPS |
|
|
Style Transfer (I8)
|
98% |
358830
472.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
42358
1.51 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
42392
1.51 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
33610
1.20 KIPS |
|
|
Text Classification (F32)
|
100% |
2426
3.49 KIPS |
|
|
Text Classification (F16)
|
100% |
2407
3.46 KIPS |
|
|
Text Classification (I8)
|
98% |
1565
2.25 KIPS |
|
|
Machine Translation (F32)
|
100% |
2742
50.5 IPS |
|
|
Machine Translation (F16)
|
100% |
2764
50.9 IPS |
|
|
Machine Translation (I8)
|
70% |
1812
33.3 IPS |
