Micro-Star International Co., Ltd. MS-7E17
Geekbench AI Score
8115
Single Precision Score
8343
Half Precision Score
14847
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | MemoryzoneBySieuToc |
| Upload Date | October 18 2024 04:19 AM |
| Views | 3 |
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) |
| Power Plan | High performance |
| 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% |
6174
1.15 KIPS |
|
|
Image Classification (HP)
|
100% |
5867
1.09 KIPS |
|
|
Image Classification (Q)
|
100% |
10185
1.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5484
88.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
6024
97.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
7519
121.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
14617
17.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
14822
17.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
33417
39.1 IPS |
|
|
Object Detection (SP)
|
100% |
5318
421.8 IPS |
|
|
Object Detection (HP)
|
100% |
5296
420.1 IPS |
|
|
Object Detection (Q)
|
88% |
10890
872.9 IPS |
|
|
Face Detection (SP)
|
100% |
13646
162.1 IPS |
|
|
Face Detection (HP)
|
100% |
14310
170.0 IPS |
|
|
Face Detection (Q)
|
100% |
27002
320.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
14593
112.4 IPS |
|
|
Depth Estimation (HP)
|
100% |
14502
111.7 IPS |
|
|
Depth Estimation (Q)
|
80% |
30539
242.0 IPS |
|
|
Style Transfer (SP)
|
100% |
42859
55.1 IPS |
|
|
Style Transfer (HP)
|
100% |
42882
55.1 IPS |
|
|
Style Transfer (Q)
|
98% |
94787
122.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8889
328.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8933
329.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16903
626.0 IPS |
|
|
Text Classification (SP)
|
100% |
2029
2.71 KIPS |
|
|
Text Classification (HP)
|
100% |
2175
2.90 KIPS |
|
|
Text Classification (Q)
|
92% |
4689
6.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3058
52.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3408
58.7 IPS |
|
|
Machine Translation (Q)
|
85% |
3016
52.8 IPS |
