To be filled by O.E.M. To be filled by O.E.M.
Geekbench AI Score
122
Single Precision Score
129
Half Precision Score
403
Quantized Score
Geekbench AI 1.6.0 for Windows x86 (64-bit)
Result Information
| Upload Date | February 02 2026 01:01 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD FX(tm)-8350 Eight-Core Processor |
| 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 | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD FX-8350 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | AuthenticAMD Family 21 Model 2 Stepping 0 |
| Base Frequency | 3.52 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 22.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
54
10.0 IPS |
|
|
Image Classification (HP)
|
100% |
53
9.90 IPS |
|
|
Image Classification (Q)
|
100% |
310
57.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
209
3.39 IPS |
|
|
Image Segmentation (HP)
|
100% |
80
1.30 IPS |
|
|
Image Segmentation (Q)
|
99% |
126
2.04 IPS |
|
|
Pose Estimation (SP)
|
100% |
136
0.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
150
0.17 IPS |
|
|
Pose Estimation (Q)
|
94% |
210
0.25 IPS |
|
|
Object Detection (SP)
|
100% |
60
4.78 IPS |
|
|
Object Detection (HP)
|
100% |
134
10.6 IPS |
|
|
Object Detection (Q)
|
87% |
401
32.2 IPS |
|
|
Face Detection (SP)
|
100% |
520
6.18 IPS |
|
|
Face Detection (HP)
|
100% |
524
6.22 IPS |
|
|
Face Detection (Q)
|
97% |
402
4.80 IPS |
|
|
Depth Estimation (SP)
|
100% |
239
1.84 IPS |
|
|
Depth Estimation (HP)
|
99% |
436
3.36 IPS |
|
|
Depth Estimation (Q)
|
81% |
678
5.36 IPS |
|
|
Style Transfer (SP)
|
100% |
5
0.01 IPS |
|
|
Style Transfer (HP)
|
100% |
5
0.01 IPS |
|
|
Style Transfer (Q)
|
98% |
3027
3.90 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
225
8.30 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
238
8.78 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
602
22.3 IPS |
|
|
Text Classification (SP)
|
100% |
214
285.6 IPS |
|
|
Text Classification (HP)
|
100% |
238
317.2 IPS |
|
|
Text Classification (Q)
|
91% |
250
336.6 IPS |
|
|
Machine Translation (SP)
|
100% |
270
4.66 IPS |
|
|
Machine Translation (HP)
|
100% |
242
4.17 IPS |
|
|
Machine Translation (Q)
|
100% |
281
4.84 IPS |
