Micro-Star International Co., Ltd. MS-7E62
Geekbench AI Score
12619
Single Precision Score
12883
Half Precision Score
31717
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 30 2025 02:15 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9900X 12-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E62 |
| Motherboard | Micro-Star International Co., Ltd. MPG B850 EDGE TI WIFI (MS-7E62) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7579
1.41 KIPS |
|
|
Image Classification (HP)
|
100% |
7464
1.39 KIPS |
|
|
Image Classification (Q)
|
100% |
17442
3.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8275
134.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
8128
131.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
25360
411.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
22488
26.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
22943
26.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
93905
109.9 IPS |
|
|
Object Detection (SP)
|
100% |
7386
585.9 IPS |
|
|
Object Detection (HP)
|
100% |
7645
606.4 IPS |
|
|
Object Detection (Q)
|
88% |
20332
1.63 KIPS |
|
|
Face Detection (SP)
|
100% |
16547
196.6 IPS |
|
|
Face Detection (HP)
|
100% |
18499
219.8 IPS |
|
|
Face Detection (Q)
|
100% |
50340
598.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
19636
151.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
19897
153.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
53453
416.0 IPS |
|
|
Style Transfer (SP)
|
100% |
61725
79.3 IPS |
|
|
Style Transfer (HP)
|
100% |
60956
78.4 IPS |
|
|
Style Transfer (Q)
|
98% |
224571
289.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12468
460.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12353
456.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
34384
1.27 KIPS |
|
|
Text Classification (SP)
|
100% |
4942
6.60 KIPS |
|
|
Text Classification (HP)
|
100% |
4885
6.52 KIPS |
|
|
Text Classification (Q)
|
92% |
6039
8.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
7955
137.0 IPS |
|
|
Machine Translation (HP)
|
100% |
8748
150.7 IPS |
|
|
Machine Translation (Q)
|
100% |
9722
167.5 IPS |
