Micro-Star International Co., Ltd. MS-7E17
Geekbench AI Score
5748
Single Precision Score
2264
Half Precision Score
3318
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | December 26 2024 06:35 PM |
| Views | 1 |
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-7E17 |
| Motherboard | Micro-Star International Co., Ltd. MPG Z890 CARBON WIFI (MS-7E17) |
| Power Plan | Ultimate Performance |
| 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% |
4312
801.9 IPS |
|
|
Image Classification (HP)
|
100% |
1581
293.9 IPS |
|
|
Image Classification (Q)
|
56% |
1482
414.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3977
64.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
634
10.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
842
13.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8138
9.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
7238
8.45 IPS |
|
|
Pose Estimation (Q)
|
96% |
15877
18.6 IPS |
|
|
Object Detection (SP)
|
100% |
3747
297.2 IPS |
|
|
Object Detection (HP)
|
100% |
1348
106.9 IPS |
|
|
Object Detection (Q)
|
87% |
2260
181.4 IPS |
|
|
Face Detection (SP)
|
100% |
12043
143.1 IPS |
|
|
Face Detection (HP)
|
100% |
3814
45.3 IPS |
|
|
Face Detection (Q)
|
100% |
6574
78.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
10428
80.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4486
34.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
8408
65.4 IPS |
|
|
Style Transfer (SP)
|
100% |
24238
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
12562
16.1 IPS |
|
|
Style Transfer (Q)
|
98% |
22796
29.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5034
185.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3090
114.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5146
190.6 IPS |
|
|
Text Classification (SP)
|
100% |
1679
2.24 KIPS |
|
|
Text Classification (HP)
|
100% |
553
738.3 IPS |
|
|
Text Classification (Q)
|
92% |
560
752.4 IPS |
|
|
Machine Translation (SP)
|
100% |
2930
50.5 IPS |
|
|
Machine Translation (HP)
|
100% |
987
17.0 IPS |
|
|
Machine Translation (Q)
|
100% |
995
17.1 IPS |
