Generic
Geekbench AI Score
2167
Single Precision Score
2269
Half Precision Score
1745
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | ohoel |
| Upload Date | February 01 2025 06:50 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon HD 7800 Series |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Professionnel (64-bit) |
| Model | Generic |
| Motherboard | ASRock 970M Pro3 |
| Power Plan | Performances optimales |
| CPU Information | |
|---|---|
| Name | AMD FX-8300 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | AuthenticAMD Family 21 Model 2 Stepping 0 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
884
164.4 IPS |
|
|
Image Classification (HP)
|
100% |
969
180.2 IPS |
|
|
Image Classification (Q)
|
100% |
774
143.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1369
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1406
22.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1197
19.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8336
9.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
8406
9.81 IPS |
|
|
Pose Estimation (Q)
|
97% |
7782
9.11 IPS |
|
|
Object Detection (SP)
|
100% |
1037
82.3 IPS |
|
|
Object Detection (HP)
|
100% |
1155
91.6 IPS |
|
|
Object Detection (Q)
|
86% |
920
74.0 IPS |
|
|
Face Detection (SP)
|
100% |
2373
28.2 IPS |
|
|
Face Detection (HP)
|
100% |
2533
30.1 IPS |
|
|
Face Detection (Q)
|
97% |
2090
24.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4561
35.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4745
36.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
3808
30.5 IPS |
|
|
Style Transfer (SP)
|
100% |
15652
20.1 IPS |
|
|
Style Transfer (HP)
|
100% |
15868
20.4 IPS |
|
|
Style Transfer (Q)
|
98% |
14146
18.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3217
118.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3403
125.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2503
92.7 IPS |
|
|
Text Classification (SP)
|
100% |
568
757.8 IPS |
|
|
Text Classification (HP)
|
100% |
583
777.6 IPS |
|
|
Text Classification (Q)
|
97% |
350
468.4 IPS |
|
|
Machine Translation (SP)
|
100% |
707
12.2 IPS |
|
|
Machine Translation (HP)
|
94% |
724
12.5 IPS |
|
|
Machine Translation (Q)
|
70% |
401
7.53 IPS |
