Micro-Star International Co., Ltd. MS-7E62
Geekbench AI Score
12695
Single Precision Score
12631
Half Precision Score
31842
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 30 2025 02:17 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% |
7428
1.38 KIPS |
|
|
Image Classification (HP)
|
100% |
7029
1.31 KIPS |
|
|
Image Classification (Q)
|
100% |
17426
3.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8544
138.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
8275
134.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
23992
388.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
22644
26.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
23085
26.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
93241
109.2 IPS |
|
|
Object Detection (SP)
|
100% |
7705
611.2 IPS |
|
|
Object Detection (HP)
|
100% |
7907
627.2 IPS |
|
|
Object Detection (Q)
|
88% |
19674
1.58 KIPS |
|
|
Face Detection (SP)
|
100% |
16105
191.4 IPS |
|
|
Face Detection (HP)
|
100% |
17200
204.4 IPS |
|
|
Face Detection (Q)
|
100% |
52654
625.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
19360
149.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
18181
140.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
57161
444.8 IPS |
|
|
Style Transfer (SP)
|
100% |
60031
77.2 IPS |
|
|
Style Transfer (HP)
|
100% |
62084
79.8 IPS |
|
|
Style Transfer (Q)
|
98% |
219707
283.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12247
452.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12440
459.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
33868
1.25 KIPS |
|
|
Text Classification (SP)
|
100% |
5168
6.90 KIPS |
|
|
Text Classification (HP)
|
100% |
4832
6.45 KIPS |
|
|
Text Classification (Q)
|
92% |
6447
8.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
8290
142.8 IPS |
|
|
Machine Translation (HP)
|
100% |
8349
143.8 IPS |
|
|
Machine Translation (Q)
|
100% |
9677
166.7 IPS |
