Generic
Geekbench ML Score
2083
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | mystery |
| Upload Date | May 04 2025 04:16 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock A320M-HDV |
| Power Plan | AMD Ryzen High Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 3700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.60 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 | 16.0 MB x 2 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 750 Ti |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
874
163.6 IPS |
|
|
Image Classification (F16)
|
100% |
882
165.1 IPS |
|
|
Image Classification (I8)
|
100% |
715
133.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1234
20.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1235
20.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
1002
16.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
7072
8.56 IPS |
|
|
Pose Estimation (F16)
|
100% |
7089
8.58 IPS |
|
|
Pose Estimation (I8)
|
100% |
6314
7.65 IPS |
|
|
Object Detection (F32)
|
100% |
1018
76.0 IPS |
|
|
Object Detection (F16)
|
100% |
1023
76.4 IPS |
|
|
Object Detection (I8)
|
60% |
856
63.9 IPS |
|
|
Face Detection (F32)
|
100% |
1818
21.6 IPS |
|
|
Face Detection (F16)
|
100% |
1811
21.5 IPS |
|
|
Face Detection (I8)
|
89% |
1424
16.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
4060
31.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
4072
31.6 IPS |
|
|
Depth Estimation (I8)
|
95% |
3346
25.9 IPS |
|
|
Style Transfer (F32)
|
100% |
12036
15.8 IPS |
|
|
Style Transfer (F16)
|
100% |
12027
15.8 IPS |
|
|
Style Transfer (I8)
|
98% |
10560
13.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3659
130.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3363
120.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2593
92.6 IPS |
|
|
Text Classification (F32)
|
100% |
961
1.38 KIPS |
|
|
Text Classification (F16)
|
100% |
972
1.40 KIPS |
|
|
Text Classification (I8)
|
98% |
526
755.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1757
32.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1769
32.6 IPS |
|
|
Machine Translation (I8)
|
70% |
802
14.8 IPS |
