ASUS System Product Name
Geekbench ML Score
22209
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 09 2024 06:17 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B550-A GAMING |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 4.65 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 512 KB x 8 |
| L3 Cache | 32.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 SUPER |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
10166
1.90 KIPS |
|
|
Image Classification (F16)
|
100% |
10422
1.95 KIPS |
|
|
Image Classification (I8)
|
100% |
8709
1.63 KIPS |
|
|
Image Segmentation (F32)
|
100% |
16547
276.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
16534
276.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
14981
250.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
161578
195.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
163013
197.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
146049
176.9 IPS |
|
|
Object Detection (F32)
|
100% |
6258
467.2 IPS |
|
|
Object Detection (F16)
|
100% |
6259
467.3 IPS |
|
|
Object Detection (I8)
|
63% |
5856
437.2 IPS |
|
|
Face Detection (F32)
|
100% |
32245
383.4 IPS |
|
|
Face Detection (F16)
|
100% |
32166
382.5 IPS |
|
|
Face Detection (I8)
|
89% |
27964
332.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
59959
465.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
60185
466.7 IPS |
|
|
Depth Estimation (I8)
|
95% |
49446
383.5 IPS |
|
|
Style Transfer (F32)
|
100% |
283356
372.7 IPS |
|
|
Style Transfer (F16)
|
100% |
286993
377.5 IPS |
|
|
Style Transfer (I8)
|
98% |
249743
328.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
46258
1.65 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
45640
1.63 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
33809
1.21 KIPS |
|
|
Text Classification (F32)
|
100% |
2974
4.27 KIPS |
|
|
Text Classification (F16)
|
100% |
2974
4.27 KIPS |
|
|
Text Classification (I8)
|
98% |
1866
2.68 KIPS |
|
|
Machine Translation (F32)
|
100% |
4686
86.2 IPS |
|
|
Machine Translation (F16)
|
100% |
4675
86.0 IPS |
|
|
Machine Translation (I8)
|
70% |
2750
50.6 IPS |
