Micro-Star International Co., Ltd. MS-7E34
Geekbench AI Score
3577
Single Precision Score
3633
Half Precision Score
2733
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| User | ericfixit |
| Upload Date | September 05 2025 02:14 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265K |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.3 LTS |
| 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 | 3.90 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.18 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2980
554.1 IPS |
|
|
Image Classification (HP)
|
100% |
3148
585.5 IPS |
|
|
Image Classification (Q)
|
99% |
2214
412.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4570
74.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4580
74.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1737
28.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4011
4.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
4163
4.86 IPS |
|
|
Pose Estimation (Q)
|
96% |
7033
8.24 IPS |
|
|
Object Detection (SP)
|
100% |
3441
273.0 IPS |
|
|
Object Detection (HP)
|
100% |
3428
271.9 IPS |
|
|
Object Detection (Q)
|
85% |
2478
199.4 IPS |
|
|
Face Detection (SP)
|
100% |
4961
58.9 IPS |
|
|
Face Detection (HP)
|
100% |
4961
58.9 IPS |
|
|
Face Detection (Q)
|
97% |
4359
52.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4097
31.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4067
31.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
3452
32.4 IPS |
|
|
Style Transfer (SP)
|
100% |
4455
5.73 IPS |
|
|
Style Transfer (HP)
|
100% |
4505
5.79 IPS |
|
|
Style Transfer (Q)
|
98% |
10059
13.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3116
115.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3173
117.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3044
112.8 IPS |
|
|
Text Classification (SP)
|
100% |
1712
2.29 KIPS |
|
|
Text Classification (HP)
|
100% |
1743
2.33 KIPS |
|
|
Text Classification (Q)
|
92% |
1035
1.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3784
65.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3874
66.7 IPS |
|
|
Machine Translation (Q)
|
58% |
729
17.1 IPS |
