Micro-Star International Co., Ltd. MS-7E62
Geekbench AI Score
38629
Single Precision Score
65598
Half Precision Score
28906
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 27 2025 05:10 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (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 9950X |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
15096
2.81 KIPS |
|
|
Image Classification (HP)
|
100% |
22540
4.19 KIPS |
|
|
Image Classification (Q)
|
100% |
12999
2.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
30295
491.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
45273
733.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
27335
444.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
243835
284.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
762473
889.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
207158
242.7 IPS |
|
|
Object Detection (SP)
|
100% |
20070
1.59 KIPS |
|
|
Object Detection (HP)
|
100% |
30879
2.45 KIPS |
|
|
Object Detection (Q)
|
86% |
16953
1.36 KIPS |
|
|
Face Detection (SP)
|
100% |
60521
719.1 IPS |
|
|
Face Detection (HP)
|
100% |
90451
1.07 KIPS |
|
|
Face Detection (Q)
|
97% |
48744
581.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
91936
708.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
177528
1.37 KIPS |
|
|
Depth Estimation (Q)
|
78% |
68618
548.0 IPS |
|
|
Style Transfer (SP)
|
100% |
358231
460.5 IPS |
|
|
Style Transfer (HP)
|
100% |
1173514
1.51 KIPS |
|
|
Style Transfer (Q)
|
98% |
308677
398.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
57029
2.11 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
88548
3.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42529
1.57 KIPS |
|
|
Text Classification (SP)
|
100% |
3865
5.16 KIPS |
|
|
Text Classification (HP)
|
100% |
4905
6.55 KIPS |
|
|
Text Classification (Q)
|
97% |
2341
3.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
7526
129.6 IPS |
|
|
Machine Translation (HP)
|
100% |
7504
129.3 IPS |
|
|
Machine Translation (Q)
|
70% |
3176
59.6 IPS |
