Generic
Geekbench AI Score
2319
Single Precision Score
952
Half Precision Score
3199
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 25 2025 03:36 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5700G |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock B550 Phantom Gaming-ITX/ax |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700G |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2770
515.2 IPS |
|
|
Image Classification (HP)
|
100% |
334
62.1 IPS |
|
|
Image Classification (Q)
|
96% |
2700
504.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1036
16.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
466
7.56 IPS |
|
|
Image Segmentation (Q)
|
97% |
3081
50.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3189
3.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
2803
3.27 IPS |
|
|
Pose Estimation (Q)
|
86% |
5954
7.04 IPS |
|
|
Object Detection (SP)
|
100% |
1590
126.1 IPS |
|
|
Object Detection (HP)
|
100% |
425
33.7 IPS |
|
|
Object Detection (Q)
|
58% |
1839
200.9 IPS |
|
|
Face Detection (SP)
|
100% |
3261
38.7 IPS |
|
|
Face Detection (HP)
|
100% |
927
11.0 IPS |
|
|
Face Detection (Q)
|
96% |
5337
63.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4442
34.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1292
9.95 IPS |
|
|
Depth Estimation (Q)
|
78% |
6090
48.6 IPS |
|
|
Style Transfer (SP)
|
100% |
8278
10.6 IPS |
|
|
Style Transfer (HP)
|
100% |
6972
8.96 IPS |
|
|
Style Transfer (Q)
|
87% |
10655
13.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1442
53.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1272
47.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2327
86.2 IPS |
|
|
Text Classification (SP)
|
100% |
1150
1.53 KIPS |
|
|
Text Classification (HP)
|
100% |
563
751.8 IPS |
|
|
Text Classification (Q)
|
97% |
879
1.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
1556
26.8 IPS |
|
|
Machine Translation (HP)
|
100% |
555
9.55 IPS |
|
|
Machine Translation (Q)
|
68% |
1744
33.7 IPS |
