Micro-Star International Co., Ltd. MS-7E62
Geekbench AI Score
11584
Single Precision Score
11395
Half Precision Score
31124
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 27 2025 05:08 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E62 |
| Motherboard | Micro-Star International Co., Ltd. MAG B850 TOMAHAWK MAX WIFI (MS-7E62) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6464
1.20 KIPS |
|
|
Image Classification (HP)
|
100% |
6341
1.18 KIPS |
|
|
Image Classification (Q)
|
100% |
17910
3.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8194
132.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
8594
139.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
23422
379.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
18985
22.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
18104
21.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
87005
101.9 IPS |
|
|
Object Detection (SP)
|
100% |
7375
585.0 IPS |
|
|
Object Detection (HP)
|
100% |
7069
560.7 IPS |
|
|
Object Detection (Q)
|
88% |
17976
1.44 KIPS |
|
|
Face Detection (SP)
|
100% |
15242
181.1 IPS |
|
|
Face Detection (HP)
|
100% |
15097
179.4 IPS |
|
|
Face Detection (Q)
|
100% |
51037
606.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
17658
136.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
17442
134.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
57546
447.8 IPS |
|
|
Style Transfer (SP)
|
100% |
54300
69.8 IPS |
|
|
Style Transfer (HP)
|
100% |
51012
65.6 IPS |
|
|
Style Transfer (Q)
|
98% |
249896
322.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11944
441.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11934
440.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
35800
1.33 KIPS |
|
|
Text Classification (SP)
|
100% |
4542
6.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4600
6.14 KIPS |
|
|
Text Classification (Q)
|
92% |
5880
7.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
7402
127.5 IPS |
|
|
Machine Translation (HP)
|
100% |
7178
123.6 IPS |
|
|
Machine Translation (Q)
|
100% |
8416
145.0 IPS |
