Micro-Star International Co., Ltd. MS-7E62
Geekbench AI Score
7457
Single Precision Score
2998
Half Precision Score
12512
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | Diagonal |
| Upload Date | December 28 2025 08:35 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9900X |
| System Information | |
|---|---|
| Operating System | Windows 11 (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 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% |
5475
1.02 KIPS |
|
|
Image Classification (HP)
|
100% |
986
183.3 IPS |
|
|
Image Classification (Q)
|
99% |
12388
2.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2007
32.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1551
25.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
17840
290.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
22242
26.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
15683
18.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
69106
81.0 IPS |
|
|
Object Detection (SP)
|
100% |
5876
466.1 IPS |
|
|
Object Detection (HP)
|
100% |
1221
96.8 IPS |
|
|
Object Detection (Q)
|
86% |
14644
1.18 KIPS |
|
|
Face Detection (SP)
|
100% |
10571
125.6 IPS |
|
|
Face Detection (HP)
|
100% |
2618
31.1 IPS |
|
|
Face Detection (Q)
|
97% |
15184
181.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
16986
130.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4287
33.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
30225
241.2 IPS |
|
|
Style Transfer (SP)
|
100% |
42014
54.0 IPS |
|
|
Style Transfer (HP)
|
100% |
32385
41.6 IPS |
|
|
Style Transfer (Q)
|
98% |
45889
59.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4730
174.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3785
139.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2357
87.3 IPS |
|
|
Text Classification (SP)
|
100% |
2275
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
1063
1.42 KIPS |
|
|
Text Classification (Q)
|
97% |
1767
2.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
4562
78.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1372
23.6 IPS |
|
|
Machine Translation (Q)
|
65% |
4795
96.3 IPS |
