Micro-Star International Co., Ltd. MS-7E17
Geekbench AI Score
6481
Single Precision Score
2022
Half Precision Score
9256
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 07 2025 05:12 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E17 |
| Motherboard | Micro-Star International Co., Ltd. MPG Z890 CARBON WIFI (MS-7E17) |
| 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% |
5519
1.03 KIPS |
|
|
Image Classification (HP)
|
100% |
878
163.3 IPS |
|
|
Image Classification (Q)
|
99% |
9498
1.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2956
47.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1283
20.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
12307
200.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
12864
15.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
6380
7.44 IPS |
|
|
Pose Estimation (Q)
|
94% |
44986
52.7 IPS |
|
|
Object Detection (SP)
|
100% |
4771
378.5 IPS |
|
|
Object Detection (HP)
|
100% |
900
71.4 IPS |
|
|
Object Detection (Q)
|
86% |
9745
783.2 IPS |
|
|
Face Detection (SP)
|
100% |
14297
169.9 IPS |
|
|
Face Detection (HP)
|
100% |
1711
20.3 IPS |
|
|
Face Detection (Q)
|
97% |
13020
155.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
14009
107.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2466
19.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
23428
186.9 IPS |
|
|
Style Transfer (SP)
|
100% |
27913
35.9 IPS |
|
|
Style Transfer (HP)
|
100% |
14545
18.7 IPS |
|
|
Style Transfer (Q)
|
98% |
24458
31.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4788
176.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2738
101.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6244
231.2 IPS |
|
|
Text Classification (SP)
|
100% |
1770
2.36 KIPS |
|
|
Text Classification (HP)
|
100% |
884
1.18 KIPS |
|
|
Text Classification (Q)
|
97% |
630
843.9 IPS |
|
|
Machine Translation (SP)
|
100% |
2758
47.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1190
20.5 IPS |
|
|
Machine Translation (Q)
|
65% |
3072
61.7 IPS |
