Micro-Star International Co., Ltd. MS-7E22
Geekbench AI Score
6160
Single Precision Score
1288
Half Precision Score
7726
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | March 19 2026 06:03 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 270K Plus |
| 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 | Mximo rendimiento |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 270K Plus |
| 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% |
3290
611.8 IPS |
|
|
Image Classification (HP)
|
100% |
221
41.0 IPS |
|
|
Image Classification (Q)
|
99% |
5543
1.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2822
45.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
401
6.50 IPS |
|
|
Image Segmentation (Q)
|
98% |
5066
82.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
16575
19.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
8295
9.68 IPS |
|
|
Pose Estimation (Q)
|
95% |
52544
61.6 IPS |
|
|
Object Detection (SP)
|
100% |
3481
276.1 IPS |
|
|
Object Detection (HP)
|
100% |
317
25.1 IPS |
|
|
Object Detection (Q)
|
88% |
3150
252.5 IPS |
|
|
Face Detection (SP)
|
100% |
6544
77.8 IPS |
|
|
Face Detection (HP)
|
100% |
447
5.31 IPS |
|
|
Face Detection (Q)
|
97% |
6794
81.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
14816
114.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1458
11.2 IPS |
|
|
Depth Estimation (Q)
|
76% |
14416
116.1 IPS |
|
|
Style Transfer (SP)
|
100% |
36402
46.8 IPS |
|
|
Style Transfer (HP)
|
100% |
21492
27.6 IPS |
|
|
Style Transfer (Q)
|
98% |
32399
41.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5852
216.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3620
133.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7333
271.5 IPS |
|
|
Text Classification (SP)
|
100% |
2193
2.93 KIPS |
|
|
Text Classification (HP)
|
100% |
968
1.29 KIPS |
|
|
Text Classification (Q)
|
97% |
1877
2.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
3247
55.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1104
19.0 IPS |
|
|
Machine Translation (Q)
|
60% |
3736
83.3 IPS |
