Micro-Star International Co., Ltd. MS-7E17
Geekbench AI Score
9197
Single Precision Score
7619
Half Precision Score
16665
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 04 2024 06:43 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% |
5977
1.11 KIPS |
|
|
Image Classification (HP)
|
100% |
3362
625.3 IPS |
|
|
Image Classification (Q)
|
100% |
10265
1.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7527
122.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4452
72.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10492
170.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
15049
17.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
15759
18.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
33740
39.5 IPS |
|
|
Object Detection (SP)
|
100% |
5579
442.5 IPS |
|
|
Object Detection (HP)
|
100% |
3831
303.9 IPS |
|
|
Object Detection (Q)
|
88% |
11119
891.3 IPS |
|
|
Face Detection (SP)
|
100% |
15513
184.3 IPS |
|
|
Face Detection (HP)
|
100% |
9969
118.5 IPS |
|
|
Face Detection (Q)
|
100% |
29103
345.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
15254
117.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
13749
105.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
32802
255.0 IPS |
|
|
Style Transfer (SP)
|
100% |
42986
55.3 IPS |
|
|
Style Transfer (HP)
|
100% |
44471
57.2 IPS |
|
|
Style Transfer (Q)
|
98% |
95800
123.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8926
329.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9686
357.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17889
662.5 IPS |
|
|
Text Classification (SP)
|
100% |
4141
5.53 KIPS |
|
|
Text Classification (HP)
|
100% |
3505
4.68 KIPS |
|
|
Text Classification (Q)
|
92% |
6421
8.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
3049
52.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3526
60.7 IPS |
|
|
Machine Translation (Q)
|
100% |
3894
67.1 IPS |
