Micro-Star International Co., Ltd. MS-7E19
Geekbench AI Score
8164
Single Precision Score
2580
Half Precision Score
3966
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 21 2025 02:26 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E19 |
| Motherboard | Micro-Star International Co., Ltd. MPG Z890 EDGE TI WIFI (MS-7E19) |
| Power Plan | Balanced |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5530
1.03 KIPS |
|
|
Image Classification (HP)
|
100% |
1822
338.8 IPS |
|
|
Image Classification (Q)
|
100% |
2608
485.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
7830
126.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
678
11.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
838
13.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
13322
15.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
8186
9.55 IPS |
|
|
Pose Estimation (Q)
|
96% |
17814
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
3803
301.6 IPS |
|
|
Object Detection (HP)
|
100% |
1513
120.0 IPS |
|
|
Object Detection (Q)
|
87% |
2527
202.8 IPS |
|
|
Face Detection (SP)
|
100% |
11802
140.2 IPS |
|
|
Face Detection (HP)
|
100% |
4496
53.4 IPS |
|
|
Face Detection (Q)
|
100% |
8712
103.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
13070
100.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
5004
38.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
9295
72.3 IPS |
|
|
Style Transfer (SP)
|
100% |
39109
50.3 IPS |
|
|
Style Transfer (HP)
|
100% |
14385
18.5 IPS |
|
|
Style Transfer (Q)
|
98% |
25958
33.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7408
273.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3515
129.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6024
223.1 IPS |
|
|
Text Classification (SP)
|
100% |
3853
5.14 KIPS |
|
|
Text Classification (HP)
|
100% |
616
822.7 IPS |
|
|
Text Classification (Q)
|
92% |
624
838.0 IPS |
|
|
Machine Translation (SP)
|
100% |
3485
60.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1221
21.0 IPS |
|
|
Machine Translation (Q)
|
100% |
1240
21.4 IPS |
