Micro-Star International Co., Ltd. MS-7E32
Geekbench AI Score
5669
Single Precision Score
9161
Half Precision Score
13273
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 18 2024 03:13 PM |
| Views | 2 |
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. PRO Z890-A WIFI (MS-7E32) |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4380
814.5 IPS |
|
|
Image Classification (HP)
|
100% |
6686
1.24 KIPS |
|
|
Image Classification (Q)
|
56% |
6272
1.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3986
64.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2799
45.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3663
59.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8414
9.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
33798
39.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
72484
84.9 IPS |
|
|
Object Detection (SP)
|
100% |
3926
311.4 IPS |
|
|
Object Detection (HP)
|
100% |
5530
438.7 IPS |
|
|
Object Detection (Q)
|
87% |
9220
740.0 IPS |
|
|
Face Detection (SP)
|
100% |
11744
139.5 IPS |
|
|
Face Detection (HP)
|
100% |
15309
181.9 IPS |
|
|
Face Detection (Q)
|
100% |
24966
296.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
10544
81.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
17168
132.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
32353
251.7 IPS |
|
|
Style Transfer (SP)
|
100% |
23787
30.6 IPS |
|
|
Style Transfer (HP)
|
100% |
50288
64.6 IPS |
|
|
Style Transfer (Q)
|
98% |
92640
119.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5009
184.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13737
507.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22225
823.1 IPS |
|
|
Text Classification (SP)
|
100% |
1535
2.05 KIPS |
|
|
Text Classification (HP)
|
100% |
2159
2.88 KIPS |
|
|
Text Classification (Q)
|
92% |
2162
2.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
2625
45.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3037
52.3 IPS |
|
|
Machine Translation (Q)
|
100% |
3076
53.0 IPS |
