Micro-Star International Co., Ltd. MS-7E17
Geekbench AI Score
6524
Single Precision Score
3936
Half Precision Score
15206
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 04 2024 06:27 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265K |
| 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) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4377
814.0 IPS |
|
|
Image Classification (HP)
|
100% |
1999
371.7 IPS |
|
|
Image Classification (Q)
|
100% |
10017
1.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4441
72.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2334
37.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
8065
130.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8560
9.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
5623
6.56 IPS |
|
|
Pose Estimation (Q)
|
96% |
32806
38.4 IPS |
|
|
Object Detection (SP)
|
100% |
4061
322.1 IPS |
|
|
Object Detection (HP)
|
100% |
2240
177.7 IPS |
|
|
Object Detection (Q)
|
88% |
10849
869.7 IPS |
|
|
Face Detection (SP)
|
100% |
12160
144.5 IPS |
|
|
Face Detection (HP)
|
100% |
5916
70.3 IPS |
|
|
Face Detection (Q)
|
100% |
27794
330.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
10872
83.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
6334
48.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
30943
240.6 IPS |
|
|
Style Transfer (SP)
|
100% |
25484
32.8 IPS |
|
|
Style Transfer (HP)
|
100% |
16502
21.2 IPS |
|
|
Style Transfer (Q)
|
98% |
92453
119.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5356
197.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3643
134.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17373
643.4 IPS |
|
|
Text Classification (SP)
|
100% |
4227
5.64 KIPS |
|
|
Text Classification (HP)
|
100% |
2456
3.28 KIPS |
|
|
Text Classification (Q)
|
92% |
6253
8.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
2712
46.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2748
47.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2662
45.9 IPS |
