System manufacturer System Product Name
Geekbench ML Score
3721
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | paisarn |
| Upload Date | May 02 2025 10:55 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME A320M-K |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 3 4100 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | AuthenticAMD Family 23 Model 96 Stepping 1 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 4 Cores |
| L1 Instruction Cache | 32.0 KB x 4 |
| L1 Data Cache | 32.0 KB x 4 |
| L2 Cache | 512 KB x 4 |
| L3 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1630 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1665
311.6 IPS |
|
|
Image Classification (F16)
|
100% |
1610
301.2 IPS |
|
|
Image Classification (I8)
|
100% |
1360
254.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
2743
45.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
2746
45.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
2303
38.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
14299
17.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
14909
18.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
12981
15.7 IPS |
|
|
Object Detection (F32)
|
100% |
1652
123.4 IPS |
|
|
Object Detection (F16)
|
100% |
1652
123.3 IPS |
|
|
Object Detection (I8)
|
60% |
1455
108.6 IPS |
|
|
Face Detection (F32)
|
100% |
3935
46.8 IPS |
|
|
Face Detection (F16)
|
100% |
3940
46.8 IPS |
|
|
Face Detection (I8)
|
89% |
3166
37.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
9098
70.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
9106
70.6 IPS |
|
|
Depth Estimation (I8)
|
95% |
7341
56.9 IPS |
|
|
Style Transfer (F32)
|
100% |
27177
35.7 IPS |
|
|
Style Transfer (F16)
|
100% |
27428
36.1 IPS |
|
|
Style Transfer (I8)
|
98% |
23028
30.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5839
208.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5625
200.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3927
140.2 IPS |
|
|
Text Classification (F32)
|
100% |
1208
1.74 KIPS |
|
|
Text Classification (F16)
|
100% |
1300
1.87 KIPS |
|
|
Text Classification (I8)
|
98% |
692
993.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1731
31.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1726
31.8 IPS |
|
|
Machine Translation (I8)
|
68% |
886
16.3 IPS |
