Micro-Star International Co., Ltd. MS-7E34
Geekbench AI Score
35376
Single Precision Score
59622
Half Precision Score
26462
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Benster412 |
| Upload Date | May 07 2025 04:56 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-7E34 |
| Motherboard | Micro-Star International Co., Ltd. Z890 GAMING PLUS WIFI (MS-7E34) |
| Power Plan | Ultimate Performance |
| 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% |
14117
2.63 KIPS |
|
|
Image Classification (HP)
|
100% |
21064
3.92 KIPS |
|
|
Image Classification (Q)
|
100% |
12161
2.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
27318
442.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
39792
645.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
24000
390.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
190183
221.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
692822
808.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
171605
201.0 IPS |
|
|
Object Detection (SP)
|
100% |
17707
1.40 KIPS |
|
|
Object Detection (HP)
|
100% |
28243
2.24 KIPS |
|
|
Object Detection (Q)
|
86% |
14546
1.17 KIPS |
|
|
Face Detection (SP)
|
100% |
52823
627.6 IPS |
|
|
Face Detection (HP)
|
100% |
75298
894.7 IPS |
|
|
Face Detection (Q)
|
97% |
43476
518.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
88650
683.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
147265
1.13 KIPS |
|
|
Depth Estimation (Q)
|
78% |
66856
533.9 IPS |
|
|
Style Transfer (SP)
|
100% |
343325
441.3 IPS |
|
|
Style Transfer (HP)
|
100% |
1069615
1.38 KIPS |
|
|
Style Transfer (Q)
|
98% |
284582
367.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
49222
1.82 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
76471
2.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37344
1.38 KIPS |
|
|
Text Classification (SP)
|
100% |
4146
5.53 KIPS |
|
|
Text Classification (HP)
|
100% |
5160
6.89 KIPS |
|
|
Text Classification (Q)
|
97% |
2370
3.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
7205
124.1 IPS |
|
|
Machine Translation (HP)
|
100% |
7396
127.4 IPS |
|
|
Machine Translation (Q)
|
70% |
3157
59.2 IPS |
