Gigabyte Technology Co., Ltd. To be filled by O.E.M.
Geekbench AI Score
286
Single Precision Score
238
Half Precision Score
434
Quantized Score
Geekbench AI 1.5.0 for Windows x86 (64-bit)
Result Information
| Upload Date | October 15 2025 04:44 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD A8-7670K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home Single Language (64-bit) |
| Model | Gigabyte Technology Co., Ltd. To be filled by O.E.M. |
| Motherboard | Gigabyte Technology Co., Ltd. F2A88XM-D3H |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD A8-7670K |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | AuthenticAMD Family 21 Model 56 Stepping 1 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
183
33.9 IPS |
|
|
Image Classification (HP)
|
100% |
120
22.4 IPS |
|
|
Image Classification (Q)
|
96% |
331
61.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
89
1.44 IPS |
|
|
Image Segmentation (HP)
|
100% |
163
2.63 IPS |
|
|
Image Segmentation (Q)
|
97% |
314
5.10 IPS |
|
|
Pose Estimation (SP)
|
100% |
363
0.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
350
0.41 IPS |
|
|
Pose Estimation (Q)
|
86% |
599
0.71 IPS |
|
|
Object Detection (SP)
|
100% |
169
13.4 IPS |
|
|
Object Detection (HP)
|
100% |
127
10.0 IPS |
|
|
Object Detection (Q)
|
58% |
232
25.4 IPS |
|
|
Face Detection (SP)
|
100% |
375
4.46 IPS |
|
|
Face Detection (HP)
|
100% |
329
3.91 IPS |
|
|
Face Detection (Q)
|
96% |
713
8.51 IPS |
|
|
Depth Estimation (SP)
|
100% |
508
3.92 IPS |
|
|
Depth Estimation (HP)
|
99% |
359
2.76 IPS |
|
|
Depth Estimation (Q)
|
78% |
680
5.41 IPS |
|
|
Style Transfer (SP)
|
100% |
1053
1.35 IPS |
|
|
Style Transfer (HP)
|
100% |
940
1.21 IPS |
|
|
Style Transfer (Q)
|
87% |
1336
1.74 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
199
7.33 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
191
7.04 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
357
13.2 IPS |
|
|
Text Classification (SP)
|
100% |
268
357.7 IPS |
|
|
Text Classification (HP)
|
100% |
170
226.3 IPS |
|
|
Text Classification (Q)
|
97% |
165
221.0 IPS |
|
|
Machine Translation (SP)
|
100% |
349
6.00 IPS |
|
|
Machine Translation (HP)
|
100% |
193
3.33 IPS |
|
|
Machine Translation (Q)
|
68% |
440
8.50 IPS |
