Micro-Star International Co., Ltd. MS-7E17
Geekbench AI Score
6616
Single Precision Score
3948
Half Precision Score
15156
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 04 2024 06:24 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% |
4385
815.5 IPS |
|
|
Image Classification (HP)
|
100% |
2000
371.9 IPS |
|
|
Image Classification (Q)
|
100% |
10034
1.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5204
84.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2431
39.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
7548
122.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8559
9.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
5635
6.58 IPS |
|
|
Pose Estimation (Q)
|
96% |
32756
38.4 IPS |
|
|
Object Detection (SP)
|
100% |
4103
325.5 IPS |
|
|
Object Detection (HP)
|
100% |
2236
177.4 IPS |
|
|
Object Detection (Q)
|
88% |
10810
866.5 IPS |
|
|
Face Detection (SP)
|
100% |
12305
146.2 IPS |
|
|
Face Detection (HP)
|
100% |
5911
70.2 IPS |
|
|
Face Detection (Q)
|
100% |
28018
332.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
10850
83.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
6360
49.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
30730
238.9 IPS |
|
|
Style Transfer (SP)
|
100% |
25471
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
16464
21.2 IPS |
|
|
Style Transfer (Q)
|
98% |
92756
119.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5371
198.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3647
134.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17415
644.9 IPS |
|
|
Text Classification (SP)
|
100% |
4204
5.61 KIPS |
|
|
Text Classification (HP)
|
100% |
2453
3.27 KIPS |
|
|
Text Classification (Q)
|
92% |
6236
8.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
2615
45.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2714
46.8 IPS |
|
|
Machine Translation (Q)
|
100% |
2751
47.4 IPS |
