Generic
Geekbench AI Score
17357
Single Precision Score
21761
Half Precision Score
14430
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | moustafaNL |
| Upload Date | March 13 2025 10:21 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7600 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock X300-ITX |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 3600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8252
1.53 KIPS |
|
|
Image Classification (HP)
|
100% |
9466
1.76 KIPS |
|
|
Image Classification (Q)
|
100% |
7605
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9120
147.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
8188
132.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
8181
133.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
108810
127.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
202030
235.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
94374
110.5 IPS |
|
|
Object Detection (SP)
|
100% |
6696
531.1 IPS |
|
|
Object Detection (HP)
|
99% |
9854
781.6 IPS |
|
|
Object Detection (Q)
|
87% |
6236
500.8 IPS |
|
|
Face Detection (SP)
|
100% |
20171
239.7 IPS |
|
|
Face Detection (HP)
|
100% |
25560
303.7 IPS |
|
|
Face Detection (Q)
|
97% |
17529
209.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
49531
381.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
60982
469.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
41146
330.0 IPS |
|
|
Style Transfer (SP)
|
100% |
162442
208.8 IPS |
|
|
Style Transfer (HP)
|
100% |
267318
343.6 IPS |
|
|
Style Transfer (Q)
|
98% |
153170
197.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27784
1.03 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
38367
1.42 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21629
800.9 IPS |
|
|
Text Classification (SP)
|
100% |
3405
4.54 KIPS |
|
|
Text Classification (HP)
|
100% |
3182
4.25 KIPS |
|
|
Text Classification (Q)
|
97% |
2330
3.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
2948
50.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3034
52.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1921
36.0 IPS |
