Micro-Star International Co., Ltd. MS-7E77
Geekbench AI Score
9341
Single Precision Score
9430
Half Precision Score
26122
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 17 2025 12:38 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 9600 6-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E77 |
| Motherboard | Micro-Star International Co., Ltd. PRO B840M-P WIFI6E (MS-7E77) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 9600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6209
1.15 KIPS |
|
|
Image Classification (HP)
|
100% |
6284
1.17 KIPS |
|
|
Image Classification (Q)
|
100% |
16797
3.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6274
101.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
6259
101.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
16933
274.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11729
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
11931
13.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
48161
56.4 IPS |
|
|
Object Detection (SP)
|
100% |
5723
453.9 IPS |
|
|
Object Detection (HP)
|
100% |
5848
463.9 IPS |
|
|
Object Detection (Q)
|
88% |
17346
1.39 KIPS |
|
|
Face Detection (SP)
|
100% |
11000
130.7 IPS |
|
|
Face Detection (HP)
|
100% |
11035
131.1 IPS |
|
|
Face Detection (Q)
|
100% |
40426
480.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
13762
106.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
13714
105.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
44195
343.9 IPS |
|
|
Style Transfer (SP)
|
100% |
32751
42.1 IPS |
|
|
Style Transfer (HP)
|
100% |
33233
42.7 IPS |
|
|
Style Transfer (Q)
|
98% |
122519
158.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7486
276.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7603
280.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24376
902.7 IPS |
|
|
Text Classification (SP)
|
100% |
5616
7.50 KIPS |
|
|
Text Classification (HP)
|
100% |
5623
7.50 KIPS |
|
|
Text Classification (Q)
|
92% |
8783
11.8 KIPS |
|
|
Machine Translation (SP)
|
100% |
9285
159.9 IPS |
|
|
Machine Translation (HP)
|
100% |
9429
162.4 IPS |
|
|
Machine Translation (Q)
|
100% |
13288
228.9 IPS |
