Generic
Geekbench AI Score
2319
Single Precision Score
1125
Half Precision Score
3942
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | min2252 |
| Upload Date | March 06 2026 03:53 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5600G |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Education (64-bit) |
| Model | Generic |
| Motherboard | ASRock X300M-STX |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600G |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2208
410.7 IPS |
|
|
Image Classification (HP)
|
100% |
544
101.1 IPS |
|
|
Image Classification (Q)
|
96% |
3336
622.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1047
17.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
755
12.2 IPS |
|
|
Image Segmentation (Q)
|
97% |
4889
79.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4258
4.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
2468
2.88 IPS |
|
|
Pose Estimation (Q)
|
86% |
8883
10.5 IPS |
|
|
Object Detection (SP)
|
100% |
1426
113.1 IPS |
|
|
Object Detection (HP)
|
100% |
567
45.0 IPS |
|
|
Object Detection (Q)
|
58% |
1964
214.6 IPS |
|
|
Face Detection (SP)
|
100% |
3235
38.4 IPS |
|
|
Face Detection (HP)
|
100% |
1081
12.8 IPS |
|
|
Face Detection (Q)
|
96% |
5482
65.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3937
30.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1433
11.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
6789
54.2 IPS |
|
|
Style Transfer (SP)
|
100% |
7432
9.55 IPS |
|
|
Style Transfer (HP)
|
100% |
6177
7.94 IPS |
|
|
Style Transfer (Q)
|
87% |
11638
15.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1355
50.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1211
44.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2545
94.3 IPS |
|
|
Text Classification (SP)
|
100% |
1279
1.71 KIPS |
|
|
Text Classification (HP)
|
100% |
620
827.2 IPS |
|
|
Text Classification (Q)
|
97% |
1103
1.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
1959
33.8 IPS |
|
|
Machine Translation (HP)
|
100% |
787
13.5 IPS |
|
|
Machine Translation (Q)
|
68% |
2622
50.7 IPS |
