Micro-Star International Co., Ltd. MS-7E19
Geekbench AI Score
7701
Single Precision Score
2693
Half Precision Score
11491
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | November 06 2025 07:57 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285K |
| System Information | |
|---|---|
| Operating System | 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) |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5861
1.09 KIPS |
|
|
Image Classification (HP)
|
100% |
891
165.6 IPS |
|
|
Image Classification (Q)
|
99% |
10367
1.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2825
45.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1640
26.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
5176
84.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
17339
20.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
8853
10.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
55745
65.4 IPS |
|
|
Object Detection (SP)
|
100% |
5639
447.3 IPS |
|
|
Object Detection (HP)
|
100% |
1180
93.6 IPS |
|
|
Object Detection (Q)
|
86% |
12953
1.04 KIPS |
|
|
Face Detection (SP)
|
100% |
15888
188.8 IPS |
|
|
Face Detection (HP)
|
100% |
2843
33.8 IPS |
|
|
Face Detection (Q)
|
97% |
14931
178.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
17918
138.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3711
28.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
27347
218.2 IPS |
|
|
Style Transfer (SP)
|
100% |
38212
49.1 IPS |
|
|
Style Transfer (HP)
|
100% |
22319
28.7 IPS |
|
|
Style Transfer (Q)
|
98% |
33724
43.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6114
225.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3954
146.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7424
274.9 IPS |
|
|
Text Classification (SP)
|
100% |
2070
2.76 KIPS |
|
|
Text Classification (HP)
|
100% |
1075
1.43 KIPS |
|
|
Text Classification (Q)
|
97% |
1883
2.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3293
56.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1317
22.7 IPS |
|
|
Machine Translation (Q)
|
65% |
5386
108.2 IPS |
