Micro-Star International Co., Ltd. MS-7E17
Geekbench AI Score
32144
Single Precision Score
55680
Half Precision Score
24462
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | September 09 2025 02:21 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Ti |
| 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% |
12874
2.39 KIPS |
|
|
Image Classification (HP)
|
100% |
20350
3.78 KIPS |
|
|
Image Classification (Q)
|
100% |
11537
2.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
24499
397.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
35105
569.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
21503
349.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
168470
196.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
661500
771.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
154340
180.8 IPS |
|
|
Object Detection (SP)
|
100% |
16506
1.31 KIPS |
|
|
Object Detection (HP)
|
100% |
25761
2.04 KIPS |
|
|
Object Detection (Q)
|
86% |
13539
1.09 KIPS |
|
|
Face Detection (SP)
|
100% |
48123
571.8 IPS |
|
|
Face Detection (HP)
|
100% |
69371
824.3 IPS |
|
|
Face Detection (Q)
|
97% |
39795
474.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
80416
619.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
145277
1.12 KIPS |
|
|
Depth Estimation (Q)
|
78% |
61365
490.0 IPS |
|
|
Style Transfer (SP)
|
100% |
306251
393.7 IPS |
|
|
Style Transfer (HP)
|
100% |
990878
1.27 KIPS |
|
|
Style Transfer (Q)
|
98% |
258222
333.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
45316
1.67 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
72871
2.69 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35135
1.30 KIPS |
|
|
Text Classification (SP)
|
100% |
3791
5.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4901
6.54 KIPS |
|
|
Text Classification (Q)
|
97% |
2294
3.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
6596
113.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6597
113.6 IPS |
|
|
Machine Translation (Q)
|
70% |
2913
54.6 IPS |
