Gigabyte Technology Co., Ltd. M68MT-S2
Geekbench AI Score
386
Single Precision Score
384
Half Precision Score
849
Quantized Score
Geekbench AI 1.3.0 for Windows x86 (64-bit)
Result Information
| Upload Date | April 09 2025 01:05 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD FX(tm)-8120 Eight-Core Processor |
| 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% |
205
38.2 IPS |
|
|
Image Classification (HP)
|
100% |
205
38.2 IPS |
|
|
Image Classification (Q)
|
100% |
593
110.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
311
5.04 IPS |
|
|
Image Segmentation (HP)
|
100% |
309
5.00 IPS |
|
|
Image Segmentation (Q)
|
99% |
537
8.73 IPS |
|
|
Pose Estimation (SP)
|
100% |
400
0.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
400
0.47 IPS |
|
|
Pose Estimation (Q)
|
94% |
1300
1.52 IPS |
|
|
Object Detection (SP)
|
100% |
209
16.6 IPS |
|
|
Object Detection (HP)
|
100% |
209
16.6 IPS |
|
|
Object Detection (Q)
|
87% |
589
47.2 IPS |
|
|
Face Detection (SP)
|
100% |
722
8.58 IPS |
|
|
Face Detection (HP)
|
100% |
724
8.61 IPS |
|
|
Face Detection (Q)
|
97% |
1614
19.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
630
4.85 IPS |
|
|
Depth Estimation (HP)
|
99% |
631
4.86 IPS |
|
|
Depth Estimation (Q)
|
81% |
1496
11.8 IPS |
|
|
Style Transfer (SP)
|
100% |
1003
1.29 IPS |
|
|
Style Transfer (HP)
|
100% |
1008
1.30 IPS |
|
|
Style Transfer (Q)
|
98% |
3820
4.93 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
294
10.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
295
10.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
774
28.7 IPS |
|
|
Text Classification (SP)
|
100% |
327
436.2 IPS |
|
|
Text Classification (HP)
|
100% |
326
435.8 IPS |
|
|
Text Classification (Q)
|
91% |
333
447.7 IPS |
|
|
Machine Translation (SP)
|
100% |
321
5.53 IPS |
|
|
Machine Translation (HP)
|
100% |
299
5.16 IPS |
|
|
Machine Translation (Q)
|
100% |
337
5.80 IPS |
