Micro-Star International Co., Ltd. MS-7E34
Geekbench AI Score
3530
Single Precision Score
3538
Half Precision Score
2787
Quantized Score
Geekbench AI 1.7.0 for Linux AVX2
Result Information
| User | ik2026 |
| Upload Date | April 07 2026 05:33 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core Ultra 7 265K |
| System Information | |
|---|---|
| Operating System | Ubuntu 25.10 |
| Model | Micro-Star International Co., Ltd. MS-7E34 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z890-P WIFI (MS-7E34) |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 265K |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 5.40 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 93.68 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3022
561.9 IPS |
|
|
Image Classification (HP)
|
100% |
3077
572.2 IPS |
|
|
Image Classification (Q)
|
99% |
2141
399.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4504
73.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4567
74.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1923
31.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4553
5.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
4496
5.25 IPS |
|
|
Pose Estimation (Q)
|
96% |
7111
8.33 IPS |
|
|
Object Detection (SP)
|
100% |
3036
240.8 IPS |
|
|
Object Detection (HP)
|
100% |
3157
250.4 IPS |
|
|
Object Detection (Q)
|
85% |
2463
198.3 IPS |
|
|
Face Detection (SP)
|
100% |
5287
62.8 IPS |
|
|
Face Detection (HP)
|
100% |
5244
62.3 IPS |
|
|
Face Detection (Q)
|
97% |
4391
52.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4386
33.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4045
31.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
3493
32.8 IPS |
|
|
Style Transfer (SP)
|
100% |
5270
6.78 IPS |
|
|
Style Transfer (HP)
|
100% |
5187
6.67 IPS |
|
|
Style Transfer (Q)
|
98% |
10180
13.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2156
79.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2242
82.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3003
111.3 IPS |
|
|
Text Classification (SP)
|
100% |
1606
2.14 KIPS |
|
|
Text Classification (HP)
|
100% |
1633
2.18 KIPS |
|
|
Text Classification (Q)
|
92% |
1004
1.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3774
65.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3829
66.0 IPS |
|
|
Machine Translation (Q)
|
58% |
833
19.5 IPS |
