Generic
Geekbench AI Score
3156
Single Precision Score
4175
Half Precision Score
2364
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | min2252 |
| Upload Date | March 06 2026 03:56 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 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% |
1303
242.3 IPS |
|
|
Image Classification (HP)
|
100% |
1629
303.0 IPS |
|
|
Image Classification (Q)
|
100% |
1165
216.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1413
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1672
27.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1203
19.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11348
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
20504
23.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
9517
11.1 IPS |
|
|
Object Detection (SP)
|
100% |
1442
114.4 IPS |
|
|
Object Detection (HP)
|
100% |
1630
129.3 IPS |
|
|
Object Detection (Q)
|
88% |
1273
102.1 IPS |
|
|
Face Detection (SP)
|
100% |
3219
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
4467
53.1 IPS |
|
|
Face Detection (Q)
|
97% |
2708
32.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6777
52.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
9431
72.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
5228
41.8 IPS |
|
|
Style Transfer (SP)
|
100% |
19528
25.1 IPS |
|
|
Style Transfer (HP)
|
100% |
32375
41.6 IPS |
|
|
Style Transfer (Q)
|
98% |
15664
20.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4070
150.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6372
235.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2822
104.5 IPS |
|
|
Text Classification (SP)
|
100% |
1007
1.34 KIPS |
|
|
Text Classification (HP)
|
100% |
1065
1.42 KIPS |
|
|
Text Classification (Q)
|
97% |
648
868.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1868
32.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1914
33.0 IPS |
|
|
Machine Translation (Q)
|
70% |
792
14.9 IPS |
