Micro-Star International Co., Ltd. MS-7E34
Geekbench AI Score
7700
Single Precision Score
12645
Half Precision Score
19562
Quantized Score
Geekbench AI 1.7.0 for Linux AVX2
Result Information
| User | ik2026 |
| Upload Date | April 07 2026 05:37 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| 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% |
5380
1.00 KIPS |
|
|
Image Classification (HP)
|
100% |
8159
1.52 KIPS |
|
|
Image Classification (Q)
|
100% |
10560
1.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5186
84.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
12830
208.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
17835
289.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
15625
18.2 IPS |
|
|
Pose Estimation (HP)
|
99% |
14783
17.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
49648
58.1 IPS |
|
|
Object Detection (SP)
|
100% |
4852
384.9 IPS |
|
|
Object Detection (HP)
|
100% |
7650
606.8 IPS |
|
|
Object Detection (Q)
|
88% |
12349
989.7 IPS |
|
|
Face Detection (SP)
|
100% |
10280
122.2 IPS |
|
|
Face Detection (HP)
|
100% |
21184
251.7 IPS |
|
|
Face Detection (Q)
|
100% |
34009
404.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
15463
119.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
29737
229.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
34145
265.4 IPS |
|
|
Style Transfer (SP)
|
100% |
41364
53.2 IPS |
|
|
Style Transfer (HP)
|
100% |
52918
68.0 IPS |
|
|
Style Transfer (Q)
|
98% |
122890
158.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7121
262.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12723
469.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21162
783.7 IPS |
|
|
Text Classification (SP)
|
71% |
2130
3.08 KIPS |
|
|
Text Classification (HP)
|
71% |
3678
5.32 KIPS |
|
|
Text Classification (Q)
|
92% |
4113
5.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
3476
59.9 IPS |
|
|
Machine Translation (HP)
|
98% |
5662
97.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5722
98.9 IPS |
