Micro-Star International Co., Ltd. MS-7E34
Geekbench AI Score
5801
Single Precision Score
2360
Half Precision Score
10853
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 31 2025 10:29 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265F |
| 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 | Equilibrado |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265F |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4138
769.6 IPS |
|
|
Image Classification (HP)
|
100% |
799
148.5 IPS |
|
|
Image Classification (Q)
|
99% |
9391
1.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2287
37.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1511
24.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
14460
235.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11085
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
7629
8.90 IPS |
|
|
Pose Estimation (Q)
|
94% |
36960
43.3 IPS |
|
|
Object Detection (SP)
|
100% |
4191
332.4 IPS |
|
|
Object Detection (HP)
|
100% |
990
78.5 IPS |
|
|
Object Detection (Q)
|
86% |
10851
872.1 IPS |
|
|
Face Detection (SP)
|
100% |
12896
153.2 IPS |
|
|
Face Detection (HP)
|
100% |
2486
29.5 IPS |
|
|
Face Detection (Q)
|
97% |
12920
154.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
12677
97.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3245
25.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
21864
174.5 IPS |
|
|
Style Transfer (SP)
|
100% |
24599
31.6 IPS |
|
|
Style Transfer (HP)
|
100% |
18932
24.3 IPS |
|
|
Style Transfer (Q)
|
98% |
29343
37.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4309
159.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2877
106.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7209
266.9 IPS |
|
|
Text Classification (SP)
|
100% |
1943
2.59 KIPS |
|
|
Text Classification (HP)
|
100% |
943
1.26 KIPS |
|
|
Text Classification (Q)
|
97% |
1667
2.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
2920
50.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1420
24.5 IPS |
|
|
Machine Translation (Q)
|
65% |
4181
84.0 IPS |
