Micro-Star International Co., Ltd. MS-7E22
Geekbench AI Score
8038
Single Precision Score
5413
Half Precision Score
19425
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 24 2025 08:09 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265KF |
| 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 | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265KF |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4825
897.4 IPS |
|
|
Image Classification (HP)
|
100% |
3500
650.9 IPS |
|
|
Image Classification (Q)
|
100% |
11819
2.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6354
103.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2869
46.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
14449
234.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9264
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
6027
7.03 IPS |
|
|
Pose Estimation (Q)
|
96% |
35087
41.1 IPS |
|
|
Object Detection (SP)
|
100% |
4752
376.9 IPS |
|
|
Object Detection (HP)
|
100% |
3407
270.2 IPS |
|
|
Object Detection (Q)
|
88% |
13118
1.05 KIPS |
|
|
Face Detection (SP)
|
100% |
14783
175.6 IPS |
|
|
Face Detection (HP)
|
100% |
11096
131.8 IPS |
|
|
Face Detection (Q)
|
100% |
33971
403.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
12100
93.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
8617
66.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
35908
279.2 IPS |
|
|
Style Transfer (SP)
|
100% |
27566
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
17654
22.7 IPS |
|
|
Style Transfer (Q)
|
98% |
98798
127.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5839
215.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3923
144.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19217
711.7 IPS |
|
|
Text Classification (SP)
|
100% |
4436
5.92 KIPS |
|
|
Text Classification (HP)
|
100% |
2589
3.46 KIPS |
|
|
Text Classification (Q)
|
92% |
6540
8.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
6532
112.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6119
105.4 IPS |
|
|
Machine Translation (Q)
|
100% |
6425
110.7 IPS |
