Micro-Star International Co., Ltd. MS-7E34
Geekbench AI Score
6497
Single Precision Score
2284
Half Precision Score
10401
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Krypton1969 |
| Upload Date | June 21 2025 05:59 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265KF |
| 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 | Prestazioni eccellenti |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265KF |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5163
960.1 IPS |
|
|
Image Classification (HP)
|
100% |
786
146.2 IPS |
|
|
Image Classification (Q)
|
99% |
9611
1.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2605
42.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1438
23.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4928
80.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
12974
15.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
6949
8.11 IPS |
|
|
Pose Estimation (Q)
|
94% |
42912
50.3 IPS |
|
|
Object Detection (SP)
|
100% |
4625
366.9 IPS |
|
|
Object Detection (HP)
|
100% |
1030
81.7 IPS |
|
|
Object Detection (Q)
|
86% |
11511
925.2 IPS |
|
|
Face Detection (SP)
|
100% |
12589
149.6 IPS |
|
|
Face Detection (HP)
|
100% |
2323
27.6 IPS |
|
|
Face Detection (Q)
|
97% |
13449
160.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
15174
116.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3180
24.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
23969
191.3 IPS |
|
|
Style Transfer (SP)
|
100% |
30439
39.1 IPS |
|
|
Style Transfer (HP)
|
100% |
19083
24.5 IPS |
|
|
Style Transfer (Q)
|
98% |
33556
43.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4903
181.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3138
115.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6800
251.8 IPS |
|
|
Text Classification (SP)
|
100% |
1912
2.55 KIPS |
|
|
Text Classification (HP)
|
100% |
955
1.27 KIPS |
|
|
Text Classification (Q)
|
97% |
1758
2.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3049
52.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1135
19.6 IPS |
|
|
Machine Translation (Q)
|
65% |
4899
98.4 IPS |
