Gigabyte Technology Co., Ltd. M68MT-S2
Geekbench AI Score
976
Single Precision Score
1063
Half Precision Score
785
Quantized Score
Geekbench AI 1.3.0 for Windows x86 (64-bit)
Result Information
| Upload Date | April 09 2025 12:53 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon HD 7700 Series |
| 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% |
397
73.9 IPS |
|
|
Image Classification (HP)
|
100% |
454
84.4 IPS |
|
|
Image Classification (Q)
|
100% |
374
69.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
558
9.04 IPS |
|
|
Image Segmentation (HP)
|
100% |
630
10.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
482
7.83 IPS |
|
|
Pose Estimation (SP)
|
100% |
2571
3.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
2630
3.07 IPS |
|
|
Pose Estimation (Q)
|
96% |
2373
2.78 IPS |
|
|
Object Detection (SP)
|
100% |
474
37.6 IPS |
|
|
Object Detection (HP)
|
100% |
548
43.5 IPS |
|
|
Object Detection (Q)
|
86% |
432
34.7 IPS |
|
|
Face Detection (SP)
|
100% |
886
10.5 IPS |
|
|
Face Detection (HP)
|
100% |
1033
12.3 IPS |
|
|
Face Detection (Q)
|
97% |
788
9.39 IPS |
|
|
Depth Estimation (SP)
|
100% |
1809
13.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1974
15.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
1547
12.4 IPS |
|
|
Style Transfer (SP)
|
100% |
5092
6.55 IPS |
|
|
Style Transfer (HP)
|
100% |
5226
6.72 IPS |
|
|
Style Transfer (Q)
|
98% |
4521
5.83 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1192
44.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1270
46.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
926
34.3 IPS |
|
|
Text Classification (SP)
|
100% |
450
601.0 IPS |
|
|
Text Classification (HP)
|
100% |
470
627.7 IPS |
|
|
Text Classification (Q)
|
97% |
300
402.0 IPS |
|
|
Machine Translation (SP)
|
100% |
665
11.4 IPS |
|
|
Machine Translation (HP)
|
94% |
703
12.2 IPS |
|
|
Machine Translation (Q)
|
70% |
318
5.97 IPS |
