System manufacturer System Product Name
Geekbench AI Score
1715
Single Precision Score
836
Half Precision Score
2072
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Brock_Suire |
| Upload Date | April 26 2025 10:40 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 3600X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B450-F GAMING |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 3600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1444
268.6 IPS |
|
|
Image Classification (HP)
|
100% |
355
65.9 IPS |
|
|
Image Classification (Q)
|
96% |
2098
391.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
701
11.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
431
6.98 IPS |
|
|
Image Segmentation (Q)
|
97% |
1470
23.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3711
4.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
3003
3.50 IPS |
|
|
Pose Estimation (Q)
|
86% |
3465
4.10 IPS |
|
|
Object Detection (SP)
|
100% |
1134
89.9 IPS |
|
|
Object Detection (HP)
|
100% |
372
29.5 IPS |
|
|
Object Detection (Q)
|
58% |
1223
133.6 IPS |
|
|
Face Detection (SP)
|
100% |
2578
30.6 IPS |
|
|
Face Detection (HP)
|
100% |
884
10.5 IPS |
|
|
Face Detection (Q)
|
96% |
3701
44.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3514
27.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1246
9.60 IPS |
|
|
Depth Estimation (Q)
|
78% |
3999
31.9 IPS |
|
|
Style Transfer (SP)
|
100% |
6707
8.62 IPS |
|
|
Style Transfer (HP)
|
100% |
5356
6.88 IPS |
|
|
Style Transfer (Q)
|
87% |
7032
9.15 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1020
37.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1015
37.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1092
40.5 IPS |
|
|
Text Classification (SP)
|
100% |
765
1.02 KIPS |
|
|
Text Classification (HP)
|
100% |
390
521.1 IPS |
|
|
Text Classification (Q)
|
97% |
699
936.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1094
18.8 IPS |
|
|
Machine Translation (HP)
|
100% |
420
7.24 IPS |
|
|
Machine Translation (Q)
|
68% |
1408
27.2 IPS |
