Micro-Star International Co., Ltd. MS-7E34
Geekbench AI Score
23211
Single Precision Score
43444
Half Precision Score
17711
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Krypton1969 |
| Upload Date | June 22 2025 09:08 AM |
| Views | 6 |
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% |
9339
1.74 KIPS |
|
|
Image Classification (HP)
|
100% |
17137
3.19 KIPS |
|
|
Image Classification (Q)
|
100% |
8553
1.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18093
293.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
28110
455.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
16314
265.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
120761
140.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
384438
448.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
112667
132.0 IPS |
|
|
Object Detection (SP)
|
100% |
11689
927.2 IPS |
|
|
Object Detection (HP)
|
100% |
21578
1.71 KIPS |
|
|
Object Detection (Q)
|
83% |
9860
796.6 IPS |
|
|
Face Detection (SP)
|
100% |
30809
366.1 IPS |
|
|
Face Detection (HP)
|
100% |
50621
601.5 IPS |
|
|
Face Detection (Q)
|
97% |
26703
318.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
53743
414.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
110367
850.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
43533
347.5 IPS |
|
|
Style Transfer (SP)
|
100% |
169752
218.2 IPS |
|
|
Style Transfer (HP)
|
100% |
581720
747.8 IPS |
|
|
Style Transfer (Q)
|
98% |
147856
190.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
33174
1.22 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
64535
2.38 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24876
921.1 IPS |
|
|
Text Classification (SP)
|
100% |
3761
5.02 KIPS |
|
|
Text Classification (HP)
|
100% |
4722
6.30 KIPS |
|
|
Text Classification (Q)
|
97% |
2228
2.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
5428
93.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6052
104.3 IPS |
|
|
Machine Translation (Q)
|
70% |
2057
38.6 IPS |
