Micro-Star International Co., Ltd. MS-7E34
Geekbench AI Score
5679
Single Precision Score
2278
Half Precision Score
10226
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | June 30 2025 10:09 PM |
| Views | 4 |
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. Z890 GAMING PLUS WIFI (MS-7E34) |
| Power Plan | Wysoka wydajno |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5463
1.02 KIPS |
|
|
Image Classification (HP)
|
100% |
854
158.9 IPS |
|
|
Image Classification (Q)
|
99% |
9846
1.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2870
46.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1505
24.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
15881
258.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
13215
15.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
7874
9.19 IPS |
|
|
Pose Estimation (Q)
|
94% |
38619
45.3 IPS |
|
|
Object Detection (SP)
|
100% |
4656
369.3 IPS |
|
|
Object Detection (HP)
|
100% |
1023
81.2 IPS |
|
|
Object Detection (Q)
|
86% |
9889
794.8 IPS |
|
|
Face Detection (SP)
|
100% |
11662
138.6 IPS |
|
|
Face Detection (HP)
|
100% |
2061
24.5 IPS |
|
|
Face Detection (Q)
|
97% |
12355
147.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5451
42.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3255
25.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
18669
149.0 IPS |
|
|
Style Transfer (SP)
|
100% |
27605
35.5 IPS |
|
|
Style Transfer (HP)
|
100% |
19903
25.6 IPS |
|
|
Style Transfer (Q)
|
98% |
24222
31.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4640
171.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2660
98.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5285
195.7 IPS |
|
|
Text Classification (SP)
|
100% |
1513
2.02 KIPS |
|
|
Text Classification (HP)
|
100% |
810
1.08 KIPS |
|
|
Text Classification (Q)
|
97% |
1563
2.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
2940
50.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1264
21.8 IPS |
|
|
Machine Translation (Q)
|
65% |
4539
91.2 IPS |
