Micro-Star International Co., Ltd. MS-7E17
Geekbench AI Score
9273
Single Precision Score
7674
Half Precision Score
16409
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 04 2024 06:48 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285K |
| 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 9 285K |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6081
1.13 KIPS |
|
|
Image Classification (HP)
|
100% |
3415
635.0 IPS |
|
|
Image Classification (Q)
|
100% |
10344
1.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7687
124.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4451
72.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
8719
141.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
15036
17.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
15815
18.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
34062
39.9 IPS |
|
|
Object Detection (SP)
|
100% |
5526
438.3 IPS |
|
|
Object Detection (HP)
|
100% |
3987
316.2 IPS |
|
|
Object Detection (Q)
|
88% |
11216
899.1 IPS |
|
|
Face Detection (SP)
|
100% |
15648
185.9 IPS |
|
|
Face Detection (HP)
|
100% |
9955
118.3 IPS |
|
|
Face Detection (Q)
|
100% |
29822
354.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
15319
118.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
13924
107.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
33018
256.7 IPS |
|
|
Style Transfer (SP)
|
100% |
43045
55.3 IPS |
|
|
Style Transfer (HP)
|
100% |
44459
57.2 IPS |
|
|
Style Transfer (Q)
|
98% |
95749
123.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8958
330.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9727
359.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17870
661.8 IPS |
|
|
Text Classification (SP)
|
100% |
4234
5.65 KIPS |
|
|
Text Classification (HP)
|
100% |
3495
4.67 KIPS |
|
|
Text Classification (Q)
|
92% |
6382
8.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
3095
53.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3529
60.8 IPS |
|
|
Machine Translation (Q)
|
100% |
3821
65.8 IPS |
