Micro-Star International Co., Ltd. MS-7E34
Geekbench AI Score
7306
Single Precision Score
2619
Half Precision Score
11302
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Benster412 |
| Upload Date | May 07 2025 04:58 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265K |
| 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% |
5845
1.09 KIPS |
|
|
Image Classification (HP)
|
100% |
847
157.6 IPS |
|
|
Image Classification (Q)
|
99% |
10853
2.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2763
44.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1608
26.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
4746
77.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
15369
17.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
8674
10.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
49860
58.5 IPS |
|
|
Object Detection (SP)
|
100% |
5217
413.8 IPS |
|
|
Object Detection (HP)
|
100% |
1125
89.2 IPS |
|
|
Object Detection (Q)
|
86% |
12594
1.01 KIPS |
|
|
Face Detection (SP)
|
100% |
14200
168.7 IPS |
|
|
Face Detection (HP)
|
100% |
2660
31.6 IPS |
|
|
Face Detection (Q)
|
97% |
14015
167.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
17433
134.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3735
28.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
25760
205.6 IPS |
|
|
Style Transfer (SP)
|
100% |
35496
45.6 IPS |
|
|
Style Transfer (HP)
|
100% |
21539
27.7 IPS |
|
|
Style Transfer (Q)
|
98% |
36371
46.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5387
198.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3989
147.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7281
269.6 IPS |
|
|
Text Classification (SP)
|
100% |
2146
2.86 KIPS |
|
|
Text Classification (HP)
|
100% |
1062
1.42 KIPS |
|
|
Text Classification (Q)
|
97% |
1999
2.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
3295
56.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1263
21.8 IPS |
|
|
Machine Translation (Q)
|
65% |
5502
110.6 IPS |
