Micro-Star International Co., Ltd. MS-7E34
Geekbench AI Score
32257
Single Precision Score
55118
Half Precision Score
24235
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 15 2025 03:22 AM |
| Views | 9 |
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. Z890 GAMING PLUS WIFI (MS-7E34) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 285K |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13147
2.44 KIPS |
|
|
Image Classification (HP)
|
100% |
20408
3.80 KIPS |
|
|
Image Classification (Q)
|
100% |
11410
2.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
24698
400.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
35751
579.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
21716
353.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
170476
198.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
656062
765.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
154696
181.2 IPS |
|
|
Object Detection (SP)
|
100% |
16295
1.29 KIPS |
|
|
Object Detection (HP)
|
100% |
25488
2.02 KIPS |
|
|
Object Detection (Q)
|
86% |
13289
1.07 KIPS |
|
|
Face Detection (SP)
|
100% |
47522
564.7 IPS |
|
|
Face Detection (HP)
|
100% |
68002
808.0 IPS |
|
|
Face Detection (Q)
|
97% |
39708
473.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
82597
636.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
135092
1.04 KIPS |
|
|
Depth Estimation (Q)
|
78% |
61108
488.0 IPS |
|
|
Style Transfer (SP)
|
100% |
310555
399.2 IPS |
|
|
Style Transfer (HP)
|
100% |
992699
1.28 KIPS |
|
|
Style Transfer (Q)
|
98% |
258222
333.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
45109
1.67 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
73551
2.72 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34748
1.29 KIPS |
|
|
Text Classification (SP)
|
100% |
3763
5.02 KIPS |
|
|
Text Classification (HP)
|
100% |
4804
6.41 KIPS |
|
|
Text Classification (Q)
|
97% |
2301
3.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
6536
112.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6583
113.4 IPS |
|
|
Machine Translation (Q)
|
70% |
2739
51.4 IPS |
