Micro-Star International Co., Ltd. MS-7E17
Geekbench AI Score
44632
Single Precision Score
66256
Half Precision Score
32874
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 25 2025 03:23 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 D v2 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E17 |
| Motherboard | Micro-Star International Co., Ltd. MPG Z890 CARBON WIFI (MS-7E17) |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 285 |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
15999
2.98 KIPS |
|
|
Image Classification (HP)
|
100% |
21188
3.94 KIPS |
|
|
Image Classification (Q)
|
100% |
13817
2.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
33140
537.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
41200
667.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
29926
486.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
389417
454.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
932466
1.09 KIPS |
|
|
Pose Estimation (Q)
|
96% |
310580
363.8 IPS |
|
|
Object Detection (SP)
|
100% |
21586
1.71 KIPS |
|
|
Object Detection (HP)
|
100% |
27600
2.19 KIPS |
|
|
Object Detection (Q)
|
85% |
18200
1.47 KIPS |
|
|
Face Detection (SP)
|
100% |
67209
798.6 IPS |
|
|
Face Detection (HP)
|
100% |
87275
1.04 KIPS |
|
|
Face Detection (Q)
|
97% |
53398
636.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
99843
769.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
183450
1.41 KIPS |
|
|
Depth Estimation (Q)
|
77% |
72763
582.8 IPS |
|
|
Style Transfer (SP)
|
100% |
566936
728.8 IPS |
|
|
Style Transfer (HP)
|
100% |
1549815
1.99 KIPS |
|
|
Style Transfer (Q)
|
98% |
477085
615.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
66860
2.47 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
89126
3.29 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48744
1.80 KIPS |
|
|
Text Classification (SP)
|
100% |
4201
5.61 KIPS |
|
|
Text Classification (HP)
|
100% |
4989
6.66 KIPS |
|
|
Text Classification (Q)
|
97% |
2318
3.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
6587
113.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6577
113.3 IPS |
|
|
Machine Translation (Q)
|
70% |
3012
56.5 IPS |
