Micro-Star International Co., Ltd. MS-7E22
Geekbench AI Score
9254
Single Precision Score
9222
Half Precision Score
16634
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 24 2024 09:32 PM |
| Views | 1 |
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-7E22 |
| Motherboard | Micro-Star International Co., Ltd. MEG Z890 ACE (MS-7E22) |
| Power Plan | Prestazioni eccellenti |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6351
1.18 KIPS |
|
|
Image Classification (HP)
|
100% |
6262
1.16 KIPS |
|
|
Image Classification (Q)
|
100% |
10802
2.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7192
116.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
7178
116.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
11117
180.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
16770
19.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
16781
19.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
34700
40.6 IPS |
|
|
Object Detection (SP)
|
100% |
5935
470.8 IPS |
|
|
Object Detection (HP)
|
100% |
5925
470.0 IPS |
|
|
Object Detection (Q)
|
88% |
11579
928.2 IPS |
|
|
Face Detection (SP)
|
100% |
17170
204.0 IPS |
|
|
Face Detection (HP)
|
100% |
17466
207.5 IPS |
|
|
Face Detection (Q)
|
100% |
30718
365.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
16728
128.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
16725
128.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
31574
245.5 IPS |
|
|
Style Transfer (SP)
|
100% |
48449
62.3 IPS |
|
|
Style Transfer (HP)
|
100% |
48461
62.3 IPS |
|
|
Style Transfer (Q)
|
98% |
98099
126.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9782
361.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9889
365.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18173
673.0 IPS |
|
|
Text Classification (SP)
|
100% |
1905
2.54 KIPS |
|
|
Text Classification (HP)
|
100% |
1908
2.55 KIPS |
|
|
Text Classification (Q)
|
92% |
5150
6.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
3911
67.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3730
64.3 IPS |
|
|
Machine Translation (Q)
|
100% |
3775
65.0 IPS |
