System manufacturer System Product Name
Geekbench AI Score
1644
Single Precision Score
813
Half Precision Score
1815
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 10 2025 07:02 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 3600 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME X570-P |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 3600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1122
208.6 IPS |
|
|
Image Classification (HP)
|
100% |
320
59.5 IPS |
|
|
Image Classification (Q)
|
96% |
1580
295.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
690
11.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
374
6.07 IPS |
|
|
Image Segmentation (Q)
|
97% |
1005
16.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2797
3.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
2433
2.84 IPS |
|
|
Pose Estimation (Q)
|
86% |
3556
4.20 IPS |
|
|
Object Detection (SP)
|
100% |
1160
92.0 IPS |
|
|
Object Detection (HP)
|
100% |
387
30.7 IPS |
|
|
Object Detection (Q)
|
58% |
1140
124.6 IPS |
|
|
Face Detection (SP)
|
100% |
2650
31.5 IPS |
|
|
Face Detection (HP)
|
100% |
888
10.5 IPS |
|
|
Face Detection (Q)
|
96% |
3853
46.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3457
26.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1253
9.65 IPS |
|
|
Depth Estimation (Q)
|
78% |
3934
31.4 IPS |
|
|
Style Transfer (SP)
|
100% |
6883
8.85 IPS |
|
|
Style Transfer (HP)
|
100% |
5547
7.13 IPS |
|
|
Style Transfer (Q)
|
87% |
7245
9.43 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1069
39.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1047
38.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1237
45.8 IPS |
|
|
Text Classification (SP)
|
100% |
728
971.9 IPS |
|
|
Text Classification (HP)
|
100% |
382
509.9 IPS |
|
|
Text Classification (Q)
|
97% |
304
407.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1172
20.2 IPS |
|
|
Machine Translation (HP)
|
100% |
454
7.83 IPS |
|
|
Machine Translation (Q)
|
68% |
1462
28.2 IPS |
