Micro-Star International Co., Ltd. MS-7E32
Geekbench AI Score
6065
Single Precision Score
2306
Half Precision Score
3521
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | wargames06 |
| Upload Date | April 11 2025 02:57 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E32 |
| Motherboard | Micro-Star International Co., Ltd. MAG Z890 TOMAHAWK WIFI (MS-7E32) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265K |
| 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% |
4027
749.0 IPS |
|
|
Image Classification (HP)
|
100% |
1624
302.1 IPS |
|
|
Image Classification (Q)
|
100% |
2323
432.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4980
80.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
613
9.94 IPS |
|
|
Image Segmentation (Q)
|
99% |
757
12.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6582
7.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
7392
8.63 IPS |
|
|
Pose Estimation (Q)
|
96% |
16102
18.9 IPS |
|
|
Object Detection (SP)
|
100% |
3272
259.5 IPS |
|
|
Object Detection (HP)
|
100% |
1348
106.9 IPS |
|
|
Object Detection (Q)
|
87% |
2232
179.2 IPS |
|
|
Face Detection (SP)
|
100% |
9156
108.8 IPS |
|
|
Face Detection (HP)
|
100% |
4051
48.1 IPS |
|
|
Face Detection (Q)
|
100% |
7812
92.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9703
74.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4501
34.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
8334
64.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21950
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
12991
16.7 IPS |
|
|
Style Transfer (Q)
|
98% |
22203
28.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4217
155.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3138
115.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5414
200.5 IPS |
|
|
Text Classification (SP)
|
100% |
3806
5.08 KIPS |
|
|
Text Classification (HP)
|
100% |
535
714.1 IPS |
|
|
Text Classification (Q)
|
92% |
540
725.8 IPS |
|
|
Machine Translation (SP)
|
100% |
4986
85.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1079
18.6 IPS |
|
|
Machine Translation (Q)
|
100% |
1099
18.9 IPS |
