Generic
Geekbench AI Score
3159
Single Precision Score
4196
Half Precision Score
2332
Quantized Score
Geekbench AI 1.3.0 Corporate for Windows AVX2
Result Information
| User | XingGuobin |
| Upload Date | April 15 2025 09:20 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 LTSC (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% |
1322
245.8 IPS |
|
|
Image Classification (HP)
|
100% |
1639
304.8 IPS |
|
|
Image Classification (Q)
|
100% |
1162
216.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1379
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1650
26.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1163
18.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11306
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
20639
24.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
9315
10.9 IPS |
|
|
Object Detection (SP)
|
100% |
1423
112.9 IPS |
|
|
Object Detection (HP)
|
100% |
1641
130.1 IPS |
|
|
Object Detection (Q)
|
88% |
1245
99.8 IPS |
|
|
Face Detection (SP)
|
100% |
2990
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
4238
50.4 IPS |
|
|
Face Detection (Q)
|
97% |
2467
29.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6684
51.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
9658
74.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
5167
41.3 IPS |
|
|
Style Transfer (SP)
|
100% |
19430
25.0 IPS |
|
|
Style Transfer (HP)
|
100% |
32336
41.6 IPS |
|
|
Style Transfer (Q)
|
98% |
15357
19.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4350
160.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6673
246.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2900
107.4 IPS |
|
|
Text Classification (SP)
|
100% |
1118
1.49 KIPS |
|
|
Text Classification (HP)
|
100% |
1124
1.50 KIPS |
|
|
Text Classification (Q)
|
97% |
699
935.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1788
30.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1864
32.1 IPS |
|
|
Machine Translation (Q)
|
70% |
767
14.4 IPS |
