Micro-Star International Co., Ltd. MS-7E62
Geekbench AI Score
2005
Single Precision Score
2196
Half Precision Score
1644
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | Diagonal |
| Upload Date | December 28 2025 08:58 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
| 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% |
668
124.1 IPS |
|
|
Image Classification (HP)
|
100% |
685
127.4 IPS |
|
|
Image Classification (Q)
|
100% |
676
125.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1175
19.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
647
10.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1021
16.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6669
7.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
10921
12.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
5994
7.02 IPS |
|
|
Object Detection (SP)
|
100% |
737
58.5 IPS |
|
|
Object Detection (HP)
|
100% |
717
56.9 IPS |
|
|
Object Detection (Q)
|
87% |
699
56.2 IPS |
|
|
Face Detection (SP)
|
100% |
2290
27.2 IPS |
|
|
Face Detection (HP)
|
100% |
2260
26.9 IPS |
|
|
Face Detection (Q)
|
97% |
2115
25.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3855
29.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
4586
35.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
3371
27.0 IPS |
|
|
Style Transfer (SP)
|
100% |
11352
14.6 IPS |
|
|
Style Transfer (HP)
|
100% |
16287
20.9 IPS |
|
|
Style Transfer (Q)
|
98% |
9991
12.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2850
105.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3799
140.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2150
79.6 IPS |
|
|
Text Classification (SP)
|
100% |
750
1.00 KIPS |
|
|
Text Classification (HP)
|
100% |
944
1.26 KIPS |
|
|
Text Classification (Q)
|
97% |
523
700.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1275
22.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1247
21.5 IPS |
|
|
Machine Translation (Q)
|
70% |
624
11.7 IPS |
