Micro-Star International Co., Ltd. MS-7E17
Geekbench AI Score
9181
Single Precision Score
7627
Half Precision Score
16726
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 04 2024 06:41 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% |
6021
1.12 KIPS |
|
|
Image Classification (HP)
|
100% |
3399
632.2 IPS |
|
|
Image Classification (Q)
|
100% |
10235
1.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7584
122.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4426
71.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
10834
175.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
15057
17.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
15797
18.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
34129
40.0 IPS |
|
|
Object Detection (SP)
|
100% |
5611
445.1 IPS |
|
|
Object Detection (HP)
|
100% |
3980
315.7 IPS |
|
|
Object Detection (Q)
|
88% |
11213
898.8 IPS |
|
|
Face Detection (SP)
|
100% |
15569
185.0 IPS |
|
|
Face Detection (HP)
|
100% |
9918
117.8 IPS |
|
|
Face Detection (Q)
|
100% |
29237
347.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
15304
117.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
13740
105.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
32826
255.2 IPS |
|
|
Style Transfer (SP)
|
100% |
43066
55.4 IPS |
|
|
Style Transfer (HP)
|
100% |
44203
56.8 IPS |
|
|
Style Transfer (Q)
|
98% |
95698
123.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9027
333.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9694
358.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17954
664.9 IPS |
|
|
Text Classification (SP)
|
100% |
4237
5.66 KIPS |
|
|
Text Classification (HP)
|
100% |
3487
4.65 KIPS |
|
|
Text Classification (Q)
|
92% |
6424
8.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
2812
48.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3463
59.7 IPS |
|
|
Machine Translation (Q)
|
100% |
3814
65.7 IPS |
