Generic
Geekbench AI Score
928
Single Precision Score
1133
Half Precision Score
685
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Cifra45 |
| Upload Date | March 12 2025 10:39 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Vega 3 Graphics |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock A320M-HDV R4.0 |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Athlon 200GE |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | AuthenticAMD Family 23 Model 17 Stepping 0 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
403
75.0 IPS |
|
|
Image Classification (HP)
|
100% |
430
79.9 IPS |
|
|
Image Classification (Q)
|
100% |
346
64.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
386
6.26 IPS |
|
|
Image Segmentation (HP)
|
100% |
416
6.74 IPS |
|
|
Image Segmentation (Q)
|
98% |
323
5.25 IPS |
|
|
Pose Estimation (SP)
|
100% |
2663
3.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
4798
5.60 IPS |
|
|
Pose Estimation (Q)
|
96% |
2316
2.71 IPS |
|
|
Object Detection (SP)
|
100% |
442
35.1 IPS |
|
|
Object Detection (HP)
|
100% |
441
35.0 IPS |
|
|
Object Detection (Q)
|
88% |
376
30.1 IPS |
|
|
Face Detection (SP)
|
100% |
1113
13.2 IPS |
|
|
Face Detection (HP)
|
100% |
1268
15.1 IPS |
|
|
Face Detection (Q)
|
97% |
860
10.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1948
15.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2636
20.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
1513
12.1 IPS |
|
|
Style Transfer (SP)
|
100% |
4624
5.94 IPS |
|
|
Style Transfer (HP)
|
100% |
7558
9.72 IPS |
|
|
Style Transfer (Q)
|
98% |
3901
5.03 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1239
45.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1787
66.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
836
31.0 IPS |
|
|
Text Classification (SP)
|
100% |
363
484.0 IPS |
|
|
Text Classification (HP)
|
100% |
356
475.0 IPS |
|
|
Text Classification (Q)
|
97% |
217
290.4 IPS |
|
|
Machine Translation (SP)
|
100% |
577
9.94 IPS |
|
|
Machine Translation (HP)
|
100% |
578
9.96 IPS |
|
|
Machine Translation (Q)
|
70% |
257
4.82 IPS |
