To be filled by O.E.M. To be filled by O.E.M.
Geekbench AI Score
167
Single Precision Score
114
Half Precision Score
334
Quantized Score
Geekbench AI 1.6.0 for Windows x86 (64-bit)
Result Information
| Upload Date | January 23 2026 11:23 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD FX-8350 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise LTSC Evaluation (64-bit) |
| Model | To be filled by O.E.M. To be filled by O.E.M. |
| Motherboard | ASUSTeK COMPUTER INC. SABERTOOTH 990FX R2.0 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD FX-8350 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | AuthenticAMD Family 21 Model 2 Stepping 0 |
| Base Frequency | 3.91 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 22.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
36
6.66 IPS |
|
|
Image Classification (HP)
|
100% |
26
4.90 IPS |
|
|
Image Classification (Q)
|
96% |
80
15.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
55
0.89 IPS |
|
|
Image Segmentation (HP)
|
100% |
42
0.69 IPS |
|
|
Image Segmentation (Q)
|
97% |
147
2.39 IPS |
|
|
Pose Estimation (SP)
|
100% |
87
0.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
60
0.07 IPS |
|
|
Pose Estimation (Q)
|
86% |
412
0.49 IPS |
|
|
Object Detection (SP)
|
100% |
129
10.3 IPS |
|
|
Object Detection (HP)
|
100% |
83
6.59 IPS |
|
|
Object Detection (Q)
|
58% |
206
22.5 IPS |
|
|
Face Detection (SP)
|
100% |
231
2.74 IPS |
|
|
Face Detection (HP)
|
100% |
183
2.17 IPS |
|
|
Face Detection (Q)
|
96% |
534
6.38 IPS |
|
|
Depth Estimation (SP)
|
100% |
352
2.71 IPS |
|
|
Depth Estimation (HP)
|
99% |
122
0.94 IPS |
|
|
Depth Estimation (Q)
|
78% |
491
3.91 IPS |
|
|
Style Transfer (SP)
|
100% |
512
0.66 IPS |
|
|
Style Transfer (HP)
|
100% |
709
0.91 IPS |
|
|
Style Transfer (Q)
|
87% |
1518
1.98 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
216
7.97 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
203
7.48 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
377
14.0 IPS |
|
|
Text Classification (SP)
|
100% |
246
328.2 IPS |
|
|
Text Classification (HP)
|
100% |
133
177.3 IPS |
|
|
Text Classification (Q)
|
97% |
281
376.5 IPS |
|
|
Machine Translation (SP)
|
100% |
357
6.15 IPS |
|
|
Machine Translation (HP)
|
100% |
168
2.89 IPS |
|
|
Machine Translation (Q)
|
68% |
420
8.12 IPS |
