Micro-Star International Co., Ltd. MS-7E34
Geekbench AI Score
33606
Single Precision Score
53908
Half Precision Score
25931
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | June 16 2025 09:00 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-7E34 |
| Motherboard | Micro-Star International Co., Ltd. Z890 GAMING PLUS WIFI (MS-7E34) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 285K |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14138
2.63 KIPS |
|
|
Image Classification (HP)
|
100% |
20275
3.77 KIPS |
|
|
Image Classification (Q)
|
100% |
12331
2.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21187
343.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
27809
450.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
19809
322.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
231521
270.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
660506
770.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
197194
231.0 IPS |
|
|
Object Detection (SP)
|
100% |
16720
1.33 KIPS |
|
|
Object Detection (HP)
|
100% |
24266
1.92 KIPS |
|
|
Object Detection (Q)
|
86% |
14654
1.18 KIPS |
|
|
Face Detection (SP)
|
100% |
46585
553.5 IPS |
|
|
Face Detection (HP)
|
100% |
63844
758.6 IPS |
|
|
Face Detection (Q)
|
97% |
39277
468.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
88114
678.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
166305
1.28 KIPS |
|
|
Depth Estimation (Q)
|
78% |
64661
516.4 IPS |
|
|
Style Transfer (SP)
|
100% |
342886
440.8 IPS |
|
|
Style Transfer (HP)
|
100% |
1036355
1.33 KIPS |
|
|
Style Transfer (Q)
|
98% |
298839
385.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
52475
1.94 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
78038
2.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
39796
1.47 KIPS |
|
|
Text Classification (SP)
|
100% |
3901
5.21 KIPS |
|
|
Text Classification (HP)
|
100% |
4861
6.49 KIPS |
|
|
Text Classification (Q)
|
97% |
2376
3.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
5501
94.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5495
94.7 IPS |
|
|
Machine Translation (Q)
|
70% |
2714
50.9 IPS |
