Generic
Geekbench AI Score
2954
Single Precision Score
1317
Half Precision Score
5011
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 18 2025 03:36 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5700G |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Generic |
| Motherboard | ASRock X300M-STX |
| Power Plan | High performance |
| 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% |
2755
512.3 IPS |
|
|
Image Classification (HP)
|
100% |
525
97.7 IPS |
|
|
Image Classification (Q)
|
96% |
4911
917.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1413
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
786
12.7 IPS |
|
|
Image Segmentation (Q)
|
97% |
5797
94.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4957
5.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
3920
4.57 IPS |
|
|
Pose Estimation (Q)
|
86% |
11647
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
2349
186.3 IPS |
|
|
Object Detection (HP)
|
100% |
657
52.1 IPS |
|
|
Object Detection (Q)
|
58% |
3214
351.1 IPS |
|
|
Face Detection (SP)
|
100% |
3872
46.0 IPS |
|
|
Face Detection (HP)
|
100% |
1339
15.9 IPS |
|
|
Face Detection (Q)
|
96% |
7976
95.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7044
54.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2018
15.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
10252
81.8 IPS |
|
|
Style Transfer (SP)
|
100% |
11114
14.3 IPS |
|
|
Style Transfer (HP)
|
100% |
9214
11.8 IPS |
|
|
Style Transfer (Q)
|
87% |
12998
16.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1651
61.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1410
52.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3139
116.3 IPS |
|
|
Text Classification (SP)
|
100% |
1340
1.79 KIPS |
|
|
Text Classification (HP)
|
100% |
639
853.0 IPS |
|
|
Text Classification (Q)
|
97% |
1341
1.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
1666
28.7 IPS |
|
|
Machine Translation (HP)
|
100% |
662
11.4 IPS |
|
|
Machine Translation (Q)
|
68% |
2094
40.5 IPS |
