System manufacturer System Product Name
Geekbench ML Score
1262
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | January 21 2024 09:09 PM |
| Views | 2 |
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 PRO 4350G |
| 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
841
157.5 IPS |
|
|
Image Classification (F16)
|
100% |
739
138.3 IPS |
|
|
Image Classification (I8)
|
97% |
940
176.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
361
6.04 IPS |
|
|
Image Segmentation (F16)
|
100% |
355
5.93 IPS |
|
|
Image Segmentation (I8)
|
97% |
921
15.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
2250
2.72 IPS |
|
|
Pose Estimation (F16)
|
100% |
2642
3.20 IPS |
|
|
Pose Estimation (I8)
|
100% |
3245
3.93 IPS |
|
|
Object Detection (F32)
|
100% |
616
46.0 IPS |
|
|
Object Detection (F16)
|
100% |
743
55.5 IPS |
|
|
Object Detection (I8)
|
60% |
744
55.5 IPS |
|
|
Face Detection (F32)
|
100% |
923
11.0 IPS |
|
|
Face Detection (F16)
|
100% |
903
10.7 IPS |
|
|
Face Detection (I8)
|
87% |
1592
18.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
2618
20.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
2602
20.2 IPS |
|
|
Depth Estimation (I8)
|
74% |
3283
25.5 IPS |
|
|
Style Transfer (F32)
|
100% |
5649
7.43 IPS |
|
|
Style Transfer (F16)
|
100% |
5421
7.13 IPS |
|
|
Style Transfer (I8)
|
85% |
4731
6.22 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1247
44.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1250
44.6 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
1267
45.3 IPS |
|
|
Text Classification (F32)
|
100% |
901
1.30 KIPS |
|
|
Text Classification (F16)
|
100% |
1096
1.58 KIPS |
|
|
Text Classification (I8)
|
94% |
324
466.3 IPS |
|
|
Machine Translation (F32)
|
100% |
894
16.4 IPS |
|
|
Machine Translation (F16)
|
100% |
911
16.8 IPS |
|
|
Machine Translation (I8)
|
67% |
1098
20.2 IPS |
