Micro-Star International Co., Ltd. MS-7E34
Geekbench AI Score
6265
Single Precision Score
2261
Half Precision Score
9894
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Krypton1969 |
| Upload Date | June 22 2025 09:06 AM |
| Views | 7 |
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% |
4571
850.1 IPS |
|
|
Image Classification (HP)
|
100% |
756
140.6 IPS |
|
|
Image Classification (Q)
|
99% |
9712
1.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2855
46.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1462
23.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4220
68.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
13310
15.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
6811
7.95 IPS |
|
|
Pose Estimation (Q)
|
94% |
39476
46.3 IPS |
|
|
Object Detection (SP)
|
100% |
4226
335.2 IPS |
|
|
Object Detection (HP)
|
100% |
1021
81.0 IPS |
|
|
Object Detection (Q)
|
86% |
11399
916.1 IPS |
|
|
Face Detection (SP)
|
100% |
12186
144.8 IPS |
|
|
Face Detection (HP)
|
100% |
2307
27.4 IPS |
|
|
Face Detection (Q)
|
97% |
11989
142.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
12080
93.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3035
23.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
23523
187.7 IPS |
|
|
Style Transfer (SP)
|
100% |
30637
39.4 IPS |
|
|
Style Transfer (HP)
|
100% |
18292
23.5 IPS |
|
|
Style Transfer (Q)
|
98% |
30789
39.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4806
177.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3276
121.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6294
233.1 IPS |
|
|
Text Classification (SP)
|
100% |
1885
2.52 KIPS |
|
|
Text Classification (HP)
|
100% |
931
1.24 KIPS |
|
|
Text Classification (Q)
|
97% |
1819
2.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
3107
53.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1164
20.1 IPS |
|
|
Machine Translation (Q)
|
65% |
4905
98.6 IPS |
