Micro-Star International Co., Ltd. MS-7E34
Geekbench AI Score
23773
Single Precision Score
44152
Half Precision Score
18231
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Krypton1969 |
| Upload Date | July 18 2025 09:26 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro Insider Preview (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E34 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z890-P WIFI (MS-7E34) |
| Power Plan | Bilanciato |
| 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% |
9635
1.79 KIPS |
|
|
Image Classification (HP)
|
100% |
17297
3.22 KIPS |
|
|
Image Classification (Q)
|
100% |
8758
1.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18565
301.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
28461
461.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
16838
273.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
125389
146.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
396574
462.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
117621
137.8 IPS |
|
|
Object Detection (SP)
|
100% |
11763
933.0 IPS |
|
|
Object Detection (HP)
|
100% |
20790
1.65 KIPS |
|
|
Object Detection (Q)
|
83% |
10074
814.0 IPS |
|
|
Face Detection (SP)
|
100% |
31340
372.4 IPS |
|
|
Face Detection (HP)
|
100% |
51542
612.4 IPS |
|
|
Face Detection (Q)
|
97% |
27640
329.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
55747
429.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
113722
876.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
44792
357.5 IPS |
|
|
Style Transfer (SP)
|
100% |
178326
229.2 IPS |
|
|
Style Transfer (HP)
|
100% |
601191
772.8 IPS |
|
|
Style Transfer (Q)
|
98% |
153958
198.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34181
1.26 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
65654
2.42 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25845
957.0 IPS |
|
|
Text Classification (SP)
|
100% |
3717
4.96 KIPS |
|
|
Text Classification (HP)
|
100% |
4722
6.30 KIPS |
|
|
Text Classification (Q)
|
97% |
2265
3.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
5523
95.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6349
109.4 IPS |
|
|
Machine Translation (Q)
|
70% |
2081
39.0 IPS |
