Micro-Star International Co., Ltd. MS-7E33
Geekbench AI Score
5047
Single Precision Score
2003
Half Precision Score
9818
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 10 2025 01:30 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 245K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E33 |
| Motherboard | Micro-Star International Co., Ltd. MPG Z890I EDGE TI WIFI (MS-7E33) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 245K |
| Topology | 1 Processor, 14 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 4.19 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4386
815.6 IPS |
|
|
Image Classification (HP)
|
100% |
717
133.3 IPS |
|
|
Image Classification (Q)
|
99% |
9391
1.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2634
42.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1346
21.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
13679
222.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7220
8.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
5232
6.11 IPS |
|
|
Pose Estimation (Q)
|
94% |
26296
30.8 IPS |
|
|
Object Detection (SP)
|
100% |
4105
325.6 IPS |
|
|
Object Detection (HP)
|
100% |
881
69.9 IPS |
|
|
Object Detection (Q)
|
86% |
9430
757.9 IPS |
|
|
Face Detection (SP)
|
100% |
10945
130.0 IPS |
|
|
Face Detection (HP)
|
100% |
2021
24.0 IPS |
|
|
Face Detection (Q)
|
97% |
12419
148.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
11087
85.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2740
21.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
19357
154.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17318
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
15303
19.7 IPS |
|
|
Style Transfer (Q)
|
98% |
23629
30.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3260
120.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2721
100.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6864
254.2 IPS |
|
|
Text Classification (SP)
|
100% |
1851
2.47 KIPS |
|
|
Text Classification (HP)
|
100% |
873
1.17 KIPS |
|
|
Text Classification (Q)
|
97% |
1740
2.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
2473
42.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1166
20.1 IPS |
|
|
Machine Translation (Q)
|
65% |
3854
77.4 IPS |
