Micro-Star International Co., Ltd. MS-7E34
Geekbench AI Score
30117
Single Precision Score
50179
Half Precision Score
23576
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 17 2025 09:24 AM |
| Views | 2 |
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-7E34 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z890-P WIFI (MS-7E34) |
| Power Plan | Ausbalanciert |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12304
2.29 KIPS |
|
|
Image Classification (HP)
|
100% |
17802
3.31 KIPS |
|
|
Image Classification (Q)
|
100% |
11122
2.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
24283
393.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
34986
567.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
21533
350.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
173101
202.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
636258
742.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
157402
184.4 IPS |
|
|
Object Detection (SP)
|
100% |
15483
1.23 KIPS |
|
|
Object Detection (HP)
|
100% |
24347
1.93 KIPS |
|
|
Object Detection (Q)
|
86% |
13553
1.09 KIPS |
|
|
Face Detection (SP)
|
100% |
46167
548.6 IPS |
|
|
Face Detection (HP)
|
100% |
64251
763.4 IPS |
|
|
Face Detection (Q)
|
97% |
38268
456.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
80595
620.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
133103
1.03 KIPS |
|
|
Depth Estimation (Q)
|
78% |
59779
477.4 IPS |
|
|
Style Transfer (SP)
|
100% |
302853
389.3 IPS |
|
|
Style Transfer (HP)
|
100% |
938766
1.21 KIPS |
|
|
Style Transfer (Q)
|
98% |
258732
333.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
44082
1.63 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
68927
2.55 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34547
1.28 KIPS |
|
|
Text Classification (SP)
|
100% |
2731
3.65 KIPS |
|
|
Text Classification (HP)
|
100% |
3402
4.54 KIPS |
|
|
Text Classification (Q)
|
97% |
1863
2.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
5653
97.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5573
96.0 IPS |
|
|
Machine Translation (Q)
|
70% |
2726
51.1 IPS |
