Micro-Star International Co., Ltd. MS-7D76
Geekbench AI Score
5258
Single Precision Score
5221
Half Precision Score
14691
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 11 2025 05:49 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 8600G w/ Radeon 760M Graphics |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D76 |
| Motherboard | Micro-Star International Co., Ltd. MAG B650M MORTAR WIFI (MS-7D76) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 8600G |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.35 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3300
613.7 IPS |
|
|
Image Classification (HP)
|
100% |
3293
612.4 IPS |
|
|
Image Classification (Q)
|
100% |
9796
1.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3561
57.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3421
55.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
9904
160.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6306
7.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
6355
7.41 IPS |
|
|
Pose Estimation (Q)
|
98% |
25428
29.8 IPS |
|
|
Object Detection (SP)
|
100% |
3083
244.6 IPS |
|
|
Object Detection (HP)
|
100% |
3031
240.4 IPS |
|
|
Object Detection (Q)
|
88% |
9674
775.5 IPS |
|
|
Face Detection (SP)
|
100% |
7379
87.7 IPS |
|
|
Face Detection (HP)
|
100% |
7301
86.8 IPS |
|
|
Face Detection (Q)
|
100% |
23168
275.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8406
64.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
8351
64.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
24146
187.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17185
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
17172
22.1 IPS |
|
|
Style Transfer (Q)
|
98% |
64579
83.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3873
143.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3914
144.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13500
500.0 IPS |
|
|
Text Classification (SP)
|
100% |
3226
4.31 KIPS |
|
|
Text Classification (HP)
|
100% |
3176
4.24 KIPS |
|
|
Text Classification (Q)
|
92% |
5648
7.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
5310
91.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5330
91.8 IPS |
|
|
Machine Translation (Q)
|
100% |
7127
122.8 IPS |
