Micro-Star International Co., Ltd. MS-7E17
Geekbench AI Score
44166
Single Precision Score
64707
Half Precision Score
32656
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | December 22 2025 03:32 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| 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 | Balanced |
| 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% |
15811
2.94 KIPS |
|
|
Image Classification (HP)
|
100% |
20436
3.80 KIPS |
|
|
Image Classification (Q)
|
100% |
13250
2.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
31968
518.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
38248
620.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
28885
469.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
389397
454.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
938172
1.09 KIPS |
|
|
Pose Estimation (Q)
|
96% |
316633
370.9 IPS |
|
|
Object Detection (SP)
|
100% |
21807
1.73 KIPS |
|
|
Object Detection (HP)
|
100% |
27403
2.17 KIPS |
|
|
Object Detection (Q)
|
85% |
18184
1.46 KIPS |
|
|
Face Detection (SP)
|
100% |
65952
783.6 IPS |
|
|
Face Detection (HP)
|
100% |
84878
1.01 KIPS |
|
|
Face Detection (Q)
|
97% |
52122
621.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
99590
767.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
180657
1.39 KIPS |
|
|
Depth Estimation (Q)
|
77% |
73687
590.2 IPS |
|
|
Style Transfer (SP)
|
100% |
578093
743.1 IPS |
|
|
Style Transfer (HP)
|
100% |
1591837
2.05 KIPS |
|
|
Style Transfer (Q)
|
98% |
483498
623.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
68074
2.51 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
90181
3.33 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49565
1.84 KIPS |
|
|
Text Classification (SP)
|
100% |
3917
5.23 KIPS |
|
|
Text Classification (HP)
|
100% |
4679
6.25 KIPS |
|
|
Text Classification (Q)
|
97% |
2274
3.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
6499
112.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6218
107.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2991
56.1 IPS |
