Gigabyte Technology Co., Ltd. M68MT-S2
Geekbench AI Score
358
Single Precision Score
234
Half Precision Score
514
Quantized Score
Geekbench AI 1.3.0 for Windows x86 (64-bit)
Result Information
| Upload Date | April 09 2025 12:48 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD FX-8120 |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. M68MT-S2 |
| Motherboard | Gigabyte Technology Co., Ltd. M68MT-S2 |
| CPU Information | |
|---|---|
| Name | AMD FX-8120 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | AuthenticAMD Family 21 Model 1 Stepping 2 |
| Base Frequency | 3.10 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
189
35.1 IPS |
|
|
Image Classification (HP)
|
100% |
93
17.4 IPS |
|
|
Image Classification (Q)
|
96% |
389
72.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
139
2.26 IPS |
|
|
Image Segmentation (HP)
|
100% |
132
2.13 IPS |
|
|
Image Segmentation (Q)
|
97% |
311
5.05 IPS |
|
|
Pose Estimation (SP)
|
100% |
479
0.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
457
0.53 IPS |
|
|
Pose Estimation (Q)
|
86% |
953
1.13 IPS |
|
|
Object Detection (SP)
|
100% |
215
17.1 IPS |
|
|
Object Detection (HP)
|
100% |
127
10.1 IPS |
|
|
Object Detection (Q)
|
58% |
317
34.6 IPS |
|
|
Face Detection (SP)
|
100% |
622
7.39 IPS |
|
|
Face Detection (HP)
|
100% |
328
3.89 IPS |
|
|
Face Detection (Q)
|
96% |
944
11.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
637
4.91 IPS |
|
|
Depth Estimation (HP)
|
99% |
319
2.46 IPS |
|
|
Depth Estimation (Q)
|
78% |
919
7.31 IPS |
|
|
Style Transfer (SP)
|
100% |
1375
1.77 IPS |
|
|
Style Transfer (HP)
|
100% |
1229
1.58 IPS |
|
|
Style Transfer (Q)
|
87% |
1922
2.50 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
253
9.34 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
240
8.85 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
378
14.0 IPS |
|
|
Text Classification (SP)
|
100% |
266
355.7 IPS |
|
|
Text Classification (HP)
|
100% |
146
195.0 IPS |
|
|
Text Classification (Q)
|
97% |
119
159.5 IPS |
|
|
Machine Translation (SP)
|
100% |
356
6.14 IPS |
|
|
Machine Translation (HP)
|
100% |
156
2.68 IPS |
|
|
Machine Translation (Q)
|
68% |
473
9.14 IPS |
