Gigabyte Technology Co., Ltd. To be filled by O.E.M.
Geekbench AI Score
408
Single Precision Score
259
Half Precision Score
449
Quantized Score
Geekbench AI 1.6.0 for Windows x86 (64-bit)
Result Information
| Upload Date | January 20 2026 11:10 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Phenom II X6 1090T Black Edition |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | Gigabyte Technology Co., Ltd. To be filled by O.E.M. |
| Motherboard | Gigabyte Technology Co., Ltd. 990FXA-UD3 |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Phenom II X6 1090T Black Edition |
| Topology | 1 Processor, 6 Cores |
| Identifier | AuthenticAMD Family 16 Model 10 Stepping 0 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
252
46.9 IPS |
|
|
Image Classification (HP)
|
100% |
115
21.5 IPS |
|
|
Image Classification (Q)
|
99% |
273
50.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
149
2.41 IPS |
|
|
Image Segmentation (HP)
|
100% |
152
2.47 IPS |
|
|
Image Segmentation (Q)
|
98% |
453
7.37 IPS |
|
|
Pose Estimation (SP)
|
100% |
667
0.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
599
0.70 IPS |
|
|
Pose Estimation (Q)
|
94% |
748
0.88 IPS |
|
|
Object Detection (SP)
|
100% |
208
16.5 IPS |
|
|
Object Detection (HP)
|
100% |
135
10.7 IPS |
|
|
Object Detection (Q)
|
86% |
272
21.9 IPS |
|
|
Face Detection (SP)
|
100% |
720
8.56 IPS |
|
|
Face Detection (HP)
|
100% |
319
3.79 IPS |
|
|
Face Detection (Q)
|
97% |
937
11.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
780
6.01 IPS |
|
|
Depth Estimation (HP)
|
99% |
407
3.13 IPS |
|
|
Depth Estimation (Q)
|
78% |
724
5.77 IPS |
|
|
Style Transfer (SP)
|
100% |
1652
2.12 IPS |
|
|
Style Transfer (HP)
|
100% |
1625
2.09 IPS |
|
|
Style Transfer (Q)
|
98% |
1596
2.06 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
308
11.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
281
10.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
392
14.5 IPS |
|
|
Text Classification (SP)
|
100% |
264
352.1 IPS |
|
|
Text Classification (HP)
|
100% |
122
162.8 IPS |
|
|
Text Classification (Q)
|
97% |
129
172.8 IPS |
|
|
Machine Translation (SP)
|
100% |
331
5.70 IPS |
|
|
Machine Translation (HP)
|
100% |
137
2.37 IPS |
|
|
Machine Translation (Q)
|
65% |
247
4.96 IPS |
