Micro-Star International Co., Ltd. MS-7E34
Geekbench AI Score
136
Single Precision Score
137
Half Precision Score
150
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| Upload Date | April 19 2025 10:58 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265K |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.10 |
| Model | Micro-Star International Co., Ltd. MS-7E34 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z890-P WIFI (MS-7E34) |
| 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 | 5.10 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 91.41 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
40
7.48 IPS |
|
|
Image Classification (HP)
|
100% |
38
7.14 IPS |
|
|
Image Classification (Q)
|
99% |
43
8.01 IPS |
|
|
Image Segmentation (SP)
|
100% |
329
5.33 IPS |
|
|
Image Segmentation (HP)
|
100% |
377
6.12 IPS |
|
|
Image Segmentation (Q)
|
98% |
315
5.12 IPS |
|
|
Pose Estimation (SP)
|
100% |
1181
1.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
1238
1.44 IPS |
|
|
Pose Estimation (Q)
|
96% |
1858
2.18 IPS |
|
|
Object Detection (SP)
|
100% |
69
5.48 IPS |
|
|
Object Detection (HP)
|
100% |
70
5.58 IPS |
|
|
Object Detection (Q)
|
85% |
69
5.59 IPS |
|
|
Face Detection (SP)
|
100% |
287
3.41 IPS |
|
|
Face Detection (HP)
|
100% |
291
3.46 IPS |
|
|
Face Detection (Q)
|
97% |
301
3.59 IPS |
|
|
Depth Estimation (SP)
|
100% |
280
2.16 IPS |
|
|
Depth Estimation (HP)
|
99% |
278
2.14 IPS |
|
|
Depth Estimation (Q)
|
63% |
235
2.21 IPS |
|
|
Style Transfer (SP)
|
100% |
2058
2.65 IPS |
|
|
Style Transfer (HP)
|
100% |
2214
2.85 IPS |
|
|
Style Transfer (Q)
|
98% |
3727
4.81 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
119
4.41 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
117
4.31 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
124
4.59 IPS |
|
|
Text Classification (SP)
|
100% |
6
8.18 IPS |
|
|
Text Classification (HP)
|
100% |
6
8.52 IPS |
|
|
Text Classification (Q)
|
92% |
8
10.3 IPS |
|
|
Machine Translation (SP)
|
100% |
18
0.31 IPS |
|
|
Machine Translation (HP)
|
100% |
16
0.27 IPS |
|
|
Machine Translation (Q)
|
58% |
13
0.32 IPS |
