Micro-Star International Co., Ltd. MS-7E19
Geekbench AI Score
9341
Single Precision Score
9402
Half Precision Score
16127
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 05 2025 09:37 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E19 |
| Motherboard | Micro-Star International Co., Ltd. MPG Z890 EDGE TI WIFI (MS-7E19) |
| CPU Information | |
|---|---|
| Name | Intel Core 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 | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5614
1.04 KIPS |
|
|
Image Classification (HP)
|
100% |
6488
1.21 KIPS |
|
|
Image Classification (Q)
|
100% |
10173
1.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8139
131.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4756
77.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
12318
199.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
15098
17.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
13339
15.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
30245
35.4 IPS |
|
|
Object Detection (SP)
|
100% |
5477
434.5 IPS |
|
|
Object Detection (HP)
|
100% |
6806
539.8 IPS |
|
|
Object Detection (Q)
|
88% |
11291
905.1 IPS |
|
|
Face Detection (SP)
|
100% |
16242
193.0 IPS |
|
|
Face Detection (HP)
|
100% |
19456
231.2 IPS |
|
|
Face Detection (Q)
|
100% |
28853
342.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
14653
112.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
16513
127.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
29527
229.6 IPS |
|
|
Style Transfer (SP)
|
100% |
42393
54.5 IPS |
|
|
Style Transfer (HP)
|
100% |
29682
38.2 IPS |
|
|
Style Transfer (Q)
|
98% |
84320
108.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7812
288.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8804
325.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16319
604.3 IPS |
|
|
Text Classification (SP)
|
100% |
4193
5.60 KIPS |
|
|
Text Classification (HP)
|
100% |
3241
4.33 KIPS |
|
|
Text Classification (Q)
|
92% |
6044
8.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
4054
69.8 IPS |
|
|
Machine Translation (HP)
|
100% |
7084
122.0 IPS |
|
|
Machine Translation (Q)
|
100% |
3925
67.6 IPS |
