Micro-Star International Co., Ltd. MS-7E62
Geekbench AI Score
50472
Single Precision Score
76430
Half Precision Score
37120
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 16 2025 02:20 AM |
| Views | 20 |
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% |
17669
3.29 KIPS |
|
|
Image Classification (HP)
|
100% |
23050
4.29 KIPS |
|
|
Image Classification (Q)
|
100% |
15375
2.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
39523
640.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
51142
829.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
36419
592.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
415420
484.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
1045351
1.22 KIPS |
|
|
Pose Estimation (Q)
|
96% |
339015
397.1 IPS |
|
|
Object Detection (SP)
|
100% |
26228
2.08 KIPS |
|
|
Object Detection (HP)
|
100% |
34780
2.76 KIPS |
|
|
Object Detection (Q)
|
85% |
21310
1.72 KIPS |
|
|
Face Detection (SP)
|
100% |
79060
939.4 IPS |
|
|
Face Detection (HP)
|
100% |
107758
1.28 KIPS |
|
|
Face Detection (Q)
|
97% |
62652
747.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
111694
860.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
200603
1.55 KIPS |
|
|
Depth Estimation (Q)
|
77% |
80410
644.0 IPS |
|
|
Style Transfer (SP)
|
100% |
642584
826.1 IPS |
|
|
Style Transfer (HP)
|
100% |
1872560
2.41 KIPS |
|
|
Style Transfer (Q)
|
98% |
530018
683.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
78829
2.91 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
104776
3.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55785
2.07 KIPS |
|
|
Text Classification (SP)
|
100% |
4140
5.53 KIPS |
|
|
Text Classification (HP)
|
100% |
4873
6.50 KIPS |
|
|
Text Classification (Q)
|
97% |
2497
3.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
7614
131.1 IPS |
|
|
Machine Translation (HP)
|
100% |
7680
132.3 IPS |
|
|
Machine Translation (Q)
|
70% |
3302
61.9 IPS |
