Micro-Star International Co., Ltd. MS-7E34
Geekbench AI Score
31991
Single Precision Score
51990
Half Precision Score
24727
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 08 2025 06:10 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 Core 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% |
12834
2.39 KIPS |
|
|
Image Classification (HP)
|
100% |
18116
3.37 KIPS |
|
|
Image Classification (Q)
|
100% |
11293
2.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20682
335.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
27042
438.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
19610
318.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
215516
251.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
673097
785.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
181342
212.4 IPS |
|
|
Object Detection (SP)
|
100% |
17152
1.36 KIPS |
|
|
Object Detection (HP)
|
100% |
24310
1.93 KIPS |
|
|
Object Detection (Q)
|
86% |
14281
1.15 KIPS |
|
|
Face Detection (SP)
|
100% |
45611
542.0 IPS |
|
|
Face Detection (HP)
|
100% |
63366
752.9 IPS |
|
|
Face Detection (Q)
|
97% |
38286
456.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
83949
646.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
161254
1.24 KIPS |
|
|
Depth Estimation (Q)
|
78% |
60889
486.2 IPS |
|
|
Style Transfer (SP)
|
100% |
326858
420.2 IPS |
|
|
Style Transfer (HP)
|
100% |
1041852
1.34 KIPS |
|
|
Style Transfer (Q)
|
98% |
286154
369.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
53165
1.96 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
77839
2.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40294
1.49 KIPS |
|
|
Text Classification (SP)
|
100% |
3234
4.32 KIPS |
|
|
Text Classification (HP)
|
100% |
4024
5.37 KIPS |
|
|
Text Classification (Q)
|
97% |
2110
2.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
5318
91.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5398
93.0 IPS |
|
|
Machine Translation (Q)
|
70% |
2628
49.3 IPS |
