Micro-Star International Co., Ltd. MS-7E17
Geekbench AI Score
4570
Single Precision Score
4593
Half Precision Score
12406
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | MemoryzoneBySieuToc |
| Upload Date | October 18 2024 07:36 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 245K |
| 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) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 245K |
| Topology | 1 Processor, 14 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3271
608.3 IPS |
|
|
Image Classification (HP)
|
100% |
3101
576.6 IPS |
|
|
Image Classification (Q)
|
100% |
7764
1.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2832
45.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3032
49.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
5423
87.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5924
6.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
5901
6.89 IPS |
|
|
Pose Estimation (Q)
|
96% |
23345
27.3 IPS |
|
|
Object Detection (SP)
|
100% |
2944
233.6 IPS |
|
|
Object Detection (HP)
|
100% |
3018
239.4 IPS |
|
|
Object Detection (Q)
|
88% |
8431
675.9 IPS |
|
|
Face Detection (SP)
|
100% |
8193
97.3 IPS |
|
|
Face Detection (HP)
|
100% |
8273
98.3 IPS |
|
|
Face Detection (Q)
|
100% |
20253
240.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7646
58.9 IPS |
|
|
Depth Estimation (HP)
|
100% |
7664
59.0 IPS |
|
|
Depth Estimation (Q)
|
80% |
21700
171.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18081
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
18307
23.5 IPS |
|
|
Style Transfer (Q)
|
98% |
65141
84.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3737
138.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3746
138.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12813
474.5 IPS |
|
|
Text Classification (SP)
|
100% |
2211
2.95 KIPS |
|
|
Text Classification (HP)
|
100% |
2209
2.95 KIPS |
|
|
Text Classification (Q)
|
92% |
4632
6.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
2629
45.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2598
44.8 IPS |
|
|
Machine Translation (Q)
|
85% |
6135
107.3 IPS |
