Micro-Star International Co., Ltd. MS-7E62
Geekbench AI Score
12628
Single Precision Score
12680
Half Precision Score
31496
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | Diagonal |
| Upload Date | December 28 2025 08:38 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9900X 12-Core Processor |
| 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% |
6825
1.27 KIPS |
|
|
Image Classification (HP)
|
100% |
7061
1.31 KIPS |
|
|
Image Classification (Q)
|
100% |
16596
3.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8962
145.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
8199
132.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
25877
419.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
23978
28.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
24200
28.2 IPS |
|
|
Pose Estimation (Q)
|
98% |
95139
111.4 IPS |
|
|
Object Detection (SP)
|
100% |
8049
638.4 IPS |
|
|
Object Detection (HP)
|
100% |
7595
602.4 IPS |
|
|
Object Detection (Q)
|
88% |
18574
1.49 KIPS |
|
|
Face Detection (SP)
|
100% |
15762
187.3 IPS |
|
|
Face Detection (HP)
|
100% |
17169
204.0 IPS |
|
|
Face Detection (Q)
|
100% |
53341
633.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
19838
152.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
19574
150.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
56525
439.9 IPS |
|
|
Style Transfer (SP)
|
100% |
62667
80.6 IPS |
|
|
Style Transfer (HP)
|
100% |
62936
80.9 IPS |
|
|
Style Transfer (Q)
|
98% |
226133
291.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12236
451.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12590
464.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
34873
1.29 KIPS |
|
|
Text Classification (SP)
|
100% |
4357
5.82 KIPS |
|
|
Text Classification (HP)
|
100% |
4656
6.21 KIPS |
|
|
Text Classification (Q)
|
92% |
5614
7.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
8364
144.1 IPS |
|
|
Machine Translation (HP)
|
100% |
8146
140.3 IPS |
|
|
Machine Translation (Q)
|
100% |
9484
163.4 IPS |
