Micro-Star International Co., Ltd. MS-7E47
Geekbench AI Score
5523
Single Precision Score
5520
Half Precision Score
15357
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | darronb |
| Upload Date | November 10 2025 08:46 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 8600G w/ Radeon 760M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E47 |
| Motherboard | Micro-Star International Co., Ltd. PRO X870-P WIFI (MS-7E47) |
| Power Plan | High performance |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3294
612.6 IPS |
|
|
Image Classification (HP)
|
100% |
3304
614.5 IPS |
|
|
Image Classification (Q)
|
100% |
10343
1.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3991
64.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3855
62.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10429
169.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6597
7.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
6626
7.73 IPS |
|
|
Pose Estimation (Q)
|
98% |
26441
31.0 IPS |
|
|
Object Detection (SP)
|
100% |
3204
254.1 IPS |
|
|
Object Detection (HP)
|
100% |
3347
265.5 IPS |
|
|
Object Detection (Q)
|
88% |
10593
849.1 IPS |
|
|
Face Detection (SP)
|
100% |
7836
93.1 IPS |
|
|
Face Detection (HP)
|
100% |
7633
90.7 IPS |
|
|
Face Detection (Q)
|
100% |
25139
298.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8989
69.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
8899
68.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
25239
196.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18104
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
18257
23.5 IPS |
|
|
Style Transfer (Q)
|
98% |
69598
89.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4117
152.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4034
149.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13475
499.0 IPS |
|
|
Text Classification (SP)
|
100% |
3404
4.54 KIPS |
|
|
Text Classification (HP)
|
100% |
3348
4.47 KIPS |
|
|
Text Classification (Q)
|
92% |
5628
7.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
5324
91.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5554
95.7 IPS |
|
|
Machine Translation (Q)
|
100% |
7214
124.3 IPS |
