Micro-Star International Co., Ltd. MS-7E17
Geekbench AI Score
41157
Single Precision Score
59460
Half Precision Score
30850
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | August 13 2025 08:17 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 D V2 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (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(R) Core(TM) Ultra 7 265K |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
15543
2.89 KIPS |
|
|
Image Classification (HP)
|
100% |
20325
3.78 KIPS |
|
|
Image Classification (Q)
|
100% |
13368
2.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
24939
404.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
29484
478.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
23375
380.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
371284
433.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
855532
998.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
303400
355.4 IPS |
|
|
Object Detection (SP)
|
100% |
20460
1.62 KIPS |
|
|
Object Detection (HP)
|
100% |
25094
1.99 KIPS |
|
|
Object Detection (Q)
|
85% |
17176
1.38 KIPS |
|
|
Face Detection (SP)
|
100% |
56105
666.7 IPS |
|
|
Face Detection (HP)
|
100% |
70430
836.9 IPS |
|
|
Face Detection (Q)
|
97% |
46518
554.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
97817
753.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
177194
1.37 KIPS |
|
|
Depth Estimation (Q)
|
77% |
72499
580.7 IPS |
|
|
Style Transfer (SP)
|
100% |
556923
715.9 IPS |
|
|
Style Transfer (HP)
|
100% |
1458296
1.87 KIPS |
|
|
Style Transfer (Q)
|
98% |
469819
605.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
66343
2.45 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
87259
3.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48500
1.80 KIPS |
|
|
Text Classification (SP)
|
100% |
4170
5.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4894
6.53 KIPS |
|
|
Text Classification (Q)
|
97% |
2293
3.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
5602
96.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5525
95.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2722
51.0 IPS |
