Micro-Star International Co., Ltd. MS-7E34
Geekbench AI Score
23243
Single Precision Score
43411
Half Precision Score
17754
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Krypton1969 |
| Upload Date | June 21 2025 06:01 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 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 | Prestazioni eccellenti |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265KF |
| 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% |
9319
1.73 KIPS |
|
|
Image Classification (HP)
|
100% |
16917
3.15 KIPS |
|
|
Image Classification (Q)
|
100% |
8577
1.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18031
292.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
27992
453.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
16309
265.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
121173
141.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
384159
448.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
112615
131.9 IPS |
|
|
Object Detection (SP)
|
100% |
11545
915.7 IPS |
|
|
Object Detection (HP)
|
100% |
21147
1.68 KIPS |
|
|
Object Detection (Q)
|
83% |
9835
794.6 IPS |
|
|
Face Detection (SP)
|
100% |
30967
368.0 IPS |
|
|
Face Detection (HP)
|
100% |
51420
611.0 IPS |
|
|
Face Detection (Q)
|
97% |
26947
321.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
53716
413.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
108559
836.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
43670
348.6 IPS |
|
|
Style Transfer (SP)
|
100% |
169989
218.5 IPS |
|
|
Style Transfer (HP)
|
100% |
582600
748.9 IPS |
|
|
Style Transfer (Q)
|
98% |
149096
192.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
32923
1.22 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
64709
2.39 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24641
912.4 IPS |
|
|
Text Classification (SP)
|
100% |
3668
4.90 KIPS |
|
|
Text Classification (HP)
|
100% |
4719
6.30 KIPS |
|
|
Text Classification (Q)
|
97% |
2242
3.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
5735
98.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6222
107.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2073
38.9 IPS |
