Micro-Star International Co., Ltd. MS-7E34
Geekbench AI Score
27462
Single Precision Score
47758
Half Precision Score
21174
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | November 04 2025 07:12 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E34 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z890-P WIFI (MS-7E34) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 265K |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10831
2.01 KIPS |
|
|
Image Classification (HP)
|
100% |
19628
3.65 KIPS |
|
|
Image Classification (Q)
|
100% |
9788
1.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18666
302.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
26578
430.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
16918
275.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
158670
185.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
448953
523.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
136223
159.6 IPS |
|
|
Object Detection (SP)
|
100% |
14344
1.14 KIPS |
|
|
Object Detection (HP)
|
100% |
24000
1.90 KIPS |
|
|
Object Detection (Q)
|
83% |
11784
952.1 IPS |
|
|
Face Detection (SP)
|
100% |
38251
454.5 IPS |
|
|
Face Detection (HP)
|
100% |
55612
660.8 IPS |
|
|
Face Detection (Q)
|
97% |
32664
389.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
67267
518.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
124812
961.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
52515
419.2 IPS |
|
|
Style Transfer (SP)
|
100% |
227081
291.9 IPS |
|
|
Style Transfer (HP)
|
100% |
749363
963.3 IPS |
|
|
Style Transfer (Q)
|
98% |
191197
246.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
40496
1.50 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
74283
2.74 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32410
1.20 KIPS |
|
|
Text Classification (SP)
|
100% |
4072
5.44 KIPS |
|
|
Text Classification (HP)
|
100% |
5046
6.74 KIPS |
|
|
Text Classification (Q)
|
97% |
2363
3.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
5504
94.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5633
97.0 IPS |
|
|
Machine Translation (Q)
|
70% |
2714
50.9 IPS |
