Generic
Geekbench AI Score
3225
Single Precision Score
1416
Half Precision Score
4813
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | dglow |
| Upload Date | May 30 2025 03:17 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5700X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock B550M-ITX/ac |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2452
456.0 IPS |
|
|
Image Classification (HP)
|
100% |
575
107.0 IPS |
|
|
Image Classification (Q)
|
96% |
4729
883.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1869
30.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
769
12.5 IPS |
|
|
Image Segmentation (Q)
|
97% |
2676
43.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4792
5.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
4037
4.71 IPS |
|
|
Pose Estimation (Q)
|
86% |
10647
12.6 IPS |
|
|
Object Detection (SP)
|
100% |
2345
186.0 IPS |
|
|
Object Detection (HP)
|
100% |
711
56.4 IPS |
|
|
Object Detection (Q)
|
58% |
3328
363.6 IPS |
|
|
Face Detection (SP)
|
100% |
5077
60.3 IPS |
|
|
Face Detection (HP)
|
100% |
1537
18.3 IPS |
|
|
Face Detection (Q)
|
96% |
8196
97.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7176
55.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2110
16.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
10366
82.7 IPS |
|
|
Style Transfer (SP)
|
100% |
12704
16.3 IPS |
|
|
Style Transfer (HP)
|
100% |
9900
12.7 IPS |
|
|
Style Transfer (Q)
|
87% |
13969
18.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1694
62.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1459
53.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2352
87.2 IPS |
|
|
Text Classification (SP)
|
100% |
1222
1.63 KIPS |
|
|
Text Classification (HP)
|
100% |
710
947.4 IPS |
|
|
Text Classification (Q)
|
97% |
1545
2.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
2470
42.5 IPS |
|
|
Machine Translation (HP)
|
100% |
772
13.3 IPS |
|
|
Machine Translation (Q)
|
68% |
3450
66.7 IPS |
