Generic
Geekbench ML Score
12346
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 22 2024 08:47 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Generic |
| Motherboard | ASRock X299 Creator |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-10980XE |
| Topology | 1 Processor, 18 Cores, 36 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 7 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 18 Cores |
| L1 Instruction Cache | 32.0 KB x 18 |
| L1 Data Cache | 32.0 KB x 18 |
| L2 Cache | 1.00 MB x 18 |
| L3 Cache | 24.8 MB x 1 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3090 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4667
873.4 IPS |
|
|
Image Classification (F16)
|
100% |
5601
1.05 KIPS |
|
|
Image Classification (I8)
|
100% |
3870
724.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
7857
131.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
8128
135.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
6285
105.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
138134
167.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
134958
163.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
103014
124.7 IPS |
|
|
Object Detection (F32)
|
100% |
3854
287.7 IPS |
|
|
Object Detection (F16)
|
100% |
4059
303.1 IPS |
|
|
Object Detection (I8)
|
56% |
2091
156.1 IPS |
|
|
Face Detection (F32)
|
100% |
16970
201.8 IPS |
|
|
Face Detection (F16)
|
100% |
16599
197.4 IPS |
|
|
Face Detection (I8)
|
89% |
12936
153.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
41322
320.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
43015
333.6 IPS |
|
|
Depth Estimation (I8)
|
94% |
27975
216.9 IPS |
|
|
Style Transfer (F32)
|
100% |
205453
270.3 IPS |
|
|
Style Transfer (F16)
|
100% |
221909
291.9 IPS |
|
|
Style Transfer (I8)
|
98% |
157364
207.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
26781
956.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
31798
1.14 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
18176
649.1 IPS |
|
|
Text Classification (F32)
|
100% |
1708
2.45 KIPS |
|
|
Text Classification (F16)
|
100% |
1592
2.29 KIPS |
|
|
Text Classification (I8)
|
98% |
912
1.31 KIPS |
|
|
Machine Translation (F32)
|
100% |
1966
36.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1985
36.5 IPS |
|
|
Machine Translation (I8)
|
70% |
1124
20.7 IPS |
