Micro-Star International Co., Ltd. MS-7E62
Geekbench AI Score
45359
Single Precision Score
74769
Half Precision Score
36164
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 17 2025 12:08 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E62 |
| Motherboard | Micro-Star International Co., Ltd. MAG B850 TOMAHAWK MAX WIFI (MS-7E62) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X3D |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
16816
3.13 KIPS |
|
|
Image Classification (HP)
|
100% |
21324
3.97 KIPS |
|
|
Image Classification (Q)
|
100% |
14464
2.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
38471
623.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
51739
838.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
36846
599.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
413778
482.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
1051146
1.23 KIPS |
|
|
Pose Estimation (Q)
|
96% |
332689
389.7 IPS |
|
|
Object Detection (SP)
|
100% |
25459
2.02 KIPS |
|
|
Object Detection (HP)
|
100% |
34157
2.71 KIPS |
|
|
Object Detection (Q)
|
85% |
21076
1.70 KIPS |
|
|
Face Detection (SP)
|
100% |
77175
917.0 IPS |
|
|
Face Detection (HP)
|
100% |
102824
1.22 KIPS |
|
|
Face Detection (Q)
|
97% |
59998
715.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
104926
808.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
193861
1.49 KIPS |
|
|
Depth Estimation (Q)
|
77% |
78680
630.2 IPS |
|
|
Style Transfer (SP)
|
100% |
628488
807.9 IPS |
|
|
Style Transfer (HP)
|
100% |
1901023
2.44 KIPS |
|
|
Style Transfer (Q)
|
98% |
521580
672.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
75980
2.81 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
103434
3.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54930
2.03 KIPS |
|
|
Text Classification (SP)
|
100% |
4119
5.50 KIPS |
|
|
Text Classification (HP)
|
100% |
4622
6.17 KIPS |
|
|
Text Classification (Q)
|
97% |
2387
3.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3397
58.5 IPS |
|
|
Machine Translation (HP)
|
100% |
7609
131.1 IPS |
|
|
Machine Translation (Q)
|
70% |
3172
59.5 IPS |
