Micro-Star International Co., Ltd. MS-7E17
Geekbench AI Score
9197
Single Precision Score
7482
Half Precision Score
16180
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 04 2024 06:46 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% |
5933
1.10 KIPS |
|
|
Image Classification (HP)
|
100% |
3336
620.4 IPS |
|
|
Image Classification (Q)
|
100% |
10286
1.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7700
124.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4469
72.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
7829
126.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
15046
17.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
15778
18.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
34154
40.0 IPS |
|
|
Object Detection (SP)
|
100% |
5549
440.2 IPS |
|
|
Object Detection (HP)
|
100% |
3550
281.6 IPS |
|
|
Object Detection (Q)
|
88% |
11110
890.6 IPS |
|
|
Face Detection (SP)
|
100% |
15660
186.1 IPS |
|
|
Face Detection (HP)
|
100% |
9852
117.1 IPS |
|
|
Face Detection (Q)
|
100% |
29139
346.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
14791
114.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
12706
97.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
32758
254.7 IPS |
|
|
Style Transfer (SP)
|
100% |
43074
55.4 IPS |
|
|
Style Transfer (HP)
|
100% |
44504
57.2 IPS |
|
|
Style Transfer (Q)
|
98% |
95419
123.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9048
334.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9706
358.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17915
663.5 IPS |
|
|
Text Classification (SP)
|
100% |
4358
5.82 KIPS |
|
|
Text Classification (HP)
|
100% |
3488
4.66 KIPS |
|
|
Text Classification (Q)
|
92% |
6401
8.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
2886
49.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3495
60.2 IPS |
|
|
Machine Translation (Q)
|
100% |
3854
66.4 IPS |
