Micro-Star International Co., Ltd. MS-7E62
Geekbench AI Score
39556
Single Precision Score
67767
Half Precision Score
29574
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 23 2025 11:11 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 |
| 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 | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
15249
2.84 KIPS |
|
|
Image Classification (HP)
|
100% |
23360
4.34 KIPS |
|
|
Image Classification (Q)
|
100% |
13457
2.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
31158
505.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
46645
756.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
28350
461.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
243752
284.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
783103
913.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
206747
242.2 IPS |
|
|
Object Detection (SP)
|
100% |
21186
1.68 KIPS |
|
|
Object Detection (HP)
|
100% |
33326
2.64 KIPS |
|
|
Object Detection (Q)
|
86% |
17871
1.44 KIPS |
|
|
Face Detection (SP)
|
100% |
61176
726.9 IPS |
|
|
Face Detection (HP)
|
100% |
92111
1.09 KIPS |
|
|
Face Detection (Q)
|
97% |
48966
583.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
93200
718.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
176269
1.36 KIPS |
|
|
Depth Estimation (Q)
|
78% |
67908
542.3 IPS |
|
|
Style Transfer (SP)
|
100% |
359529
462.2 IPS |
|
|
Style Transfer (HP)
|
100% |
1217407
1.56 KIPS |
|
|
Style Transfer (Q)
|
98% |
309637
399.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
59184
2.19 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
92356
3.41 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44080
1.63 KIPS |
|
|
Text Classification (SP)
|
100% |
4008
5.35 KIPS |
|
|
Text Classification (HP)
|
100% |
4995
6.67 KIPS |
|
|
Text Classification (Q)
|
97% |
2441
3.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
7861
135.4 IPS |
|
|
Machine Translation (HP)
|
100% |
7878
135.7 IPS |
|
|
Machine Translation (Q)
|
70% |
3278
61.5 IPS |
