Generic
Geekbench AI Score
3783
Single Precision Score
3773
Half Precision Score
6394
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | min2252 |
| Upload Date | March 06 2026 03:48 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 5600G with Radeon Graphics |
| 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% |
2344
436.0 IPS |
|
|
Image Classification (HP)
|
100% |
2324
432.1 IPS |
|
|
Image Classification (Q)
|
100% |
4159
773.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2699
43.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2729
44.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4836
78.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4662
5.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
4584
5.35 IPS |
|
|
Pose Estimation (Q)
|
94% |
10939
12.8 IPS |
|
|
Object Detection (SP)
|
100% |
2237
177.4 IPS |
|
|
Object Detection (HP)
|
100% |
2246
178.1 IPS |
|
|
Object Detection (Q)
|
87% |
4444
356.4 IPS |
|
|
Face Detection (SP)
|
100% |
4804
57.1 IPS |
|
|
Face Detection (HP)
|
100% |
4802
57.1 IPS |
|
|
Face Detection (Q)
|
97% |
12094
144.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6038
46.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
5935
45.7 IPS |
|
|
Depth Estimation (Q)
|
81% |
11550
91.1 IPS |
|
|
Style Transfer (SP)
|
100% |
13817
17.8 IPS |
|
|
Style Transfer (HP)
|
100% |
13967
18.0 IPS |
|
|
Style Transfer (Q)
|
98% |
31291
40.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2773
102.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2774
102.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
6352
235.3 IPS |
|
|
Text Classification (SP)
|
100% |
2294
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
2257
3.01 KIPS |
|
|
Text Classification (Q)
|
91% |
1209
1.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
3578
61.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3594
61.9 IPS |
|
|
Machine Translation (Q)
|
100% |
3483
60.0 IPS |
