Gigabyte Technology Co., Ltd. To be filled by O.E.M.
Geekbench AI Score
409
Single Precision Score
260
Half Precision Score
453
Quantized Score
Geekbench AI 1.6.0 for Windows x86 (64-bit)
Result Information
| Upload Date | January 17 2026 10:42 PM |
| Views | 3 |
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% |
260
48.3 IPS |
|
|
Image Classification (HP)
|
100% |
117
21.7 IPS |
|
|
Image Classification (Q)
|
99% |
271
50.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
138
2.23 IPS |
|
|
Image Segmentation (HP)
|
100% |
137
2.22 IPS |
|
|
Image Segmentation (Q)
|
98% |
462
7.50 IPS |
|
|
Pose Estimation (SP)
|
100% |
675
0.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
602
0.70 IPS |
|
|
Pose Estimation (Q)
|
94% |
758
0.89 IPS |
|
|
Object Detection (SP)
|
100% |
209
16.6 IPS |
|
|
Object Detection (HP)
|
100% |
140
11.1 IPS |
|
|
Object Detection (Q)
|
86% |
276
22.2 IPS |
|
|
Face Detection (SP)
|
100% |
727
8.63 IPS |
|
|
Face Detection (HP)
|
100% |
323
3.84 IPS |
|
|
Face Detection (Q)
|
97% |
957
11.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
792
6.11 IPS |
|
|
Depth Estimation (HP)
|
99% |
415
3.20 IPS |
|
|
Depth Estimation (Q)
|
78% |
726
5.78 IPS |
|
|
Style Transfer (SP)
|
100% |
1669
2.14 IPS |
|
|
Style Transfer (HP)
|
100% |
1648
2.12 IPS |
|
|
Style Transfer (Q)
|
98% |
1601
2.06 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
313
11.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
288
10.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
398
14.7 IPS |
|
|
Text Classification (SP)
|
100% |
263
351.1 IPS |
|
|
Text Classification (HP)
|
100% |
123
164.1 IPS |
|
|
Text Classification (Q)
|
97% |
128
172.1 IPS |
|
|
Machine Translation (SP)
|
100% |
335
5.76 IPS |
|
|
Machine Translation (HP)
|
100% |
137
2.36 IPS |
|
|
Machine Translation (Q)
|
65% |
248
4.99 IPS |
