Generic
Geekbench AI Score
409
Single Precision Score
408
Half Precision Score
875
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | ohoel |
| Upload Date | February 01 2025 05:34 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD FX(tm)-8300 Eight-Core Processor |
| 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% |
226
42.1 IPS |
|
|
Image Classification (HP)
|
100% |
225
41.9 IPS |
|
|
Image Classification (Q)
|
100% |
612
113.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
313
5.08 IPS |
|
|
Image Segmentation (HP)
|
100% |
310
5.02 IPS |
|
|
Image Segmentation (Q)
|
99% |
469
7.63 IPS |
|
|
Pose Estimation (SP)
|
100% |
429
0.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
430
0.50 IPS |
|
|
Pose Estimation (Q)
|
94% |
1347
1.58 IPS |
|
|
Object Detection (SP)
|
100% |
226
17.9 IPS |
|
|
Object Detection (HP)
|
100% |
227
18.0 IPS |
|
|
Object Detection (Q)
|
87% |
605
48.5 IPS |
|
|
Face Detection (SP)
|
100% |
738
8.77 IPS |
|
|
Face Detection (HP)
|
100% |
740
8.80 IPS |
|
|
Face Detection (Q)
|
97% |
1674
20.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
655
5.04 IPS |
|
|
Depth Estimation (HP)
|
99% |
656
5.06 IPS |
|
|
Depth Estimation (Q)
|
81% |
1543
12.2 IPS |
|
|
Style Transfer (SP)
|
100% |
1080
1.39 IPS |
|
|
Style Transfer (HP)
|
100% |
1085
1.39 IPS |
|
|
Style Transfer (Q)
|
98% |
3897
5.03 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
305
11.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
306
11.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
810
30.0 IPS |
|
|
Text Classification (SP)
|
100% |
339
452.5 IPS |
|
|
Text Classification (HP)
|
100% |
330
440.0 IPS |
|
|
Text Classification (Q)
|
91% |
384
516.1 IPS |
|
|
Machine Translation (SP)
|
100% |
358
6.16 IPS |
|
|
Machine Translation (HP)
|
100% |
358
6.17 IPS |
|
|
Machine Translation (Q)
|
100% |
362
6.23 IPS |
