Micro-Star International Co., Ltd. MS-7E32
Geekbench AI Score
5845
Single Precision Score
9183
Half Precision Score
13948
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | werfree |
| Upload Date | January 19 2026 02:53 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E32 |
| Motherboard | Micro-Star International Co., Ltd. MAG Z890 TOMAHAWK WIFI (MS-7E32) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core 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% |
3922
729.4 IPS |
|
|
Image Classification (HP)
|
100% |
5968
1.11 KIPS |
|
|
Image Classification (Q)
|
100% |
8180
1.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3878
62.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
8739
141.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
11198
181.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
12100
14.1 IPS |
|
|
Pose Estimation (HP)
|
99% |
11263
13.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
38176
44.7 IPS |
|
|
Object Detection (SP)
|
100% |
3663
290.5 IPS |
|
|
Object Detection (HP)
|
100% |
5761
457.0 IPS |
|
|
Object Detection (Q)
|
88% |
9708
778.0 IPS |
|
|
Face Detection (SP)
|
100% |
7982
94.8 IPS |
|
|
Face Detection (HP)
|
100% |
15918
189.1 IPS |
|
|
Face Detection (Q)
|
100% |
25952
308.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
12507
96.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
21701
167.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
25441
197.7 IPS |
|
|
Style Transfer (SP)
|
100% |
30965
39.8 IPS |
|
|
Style Transfer (HP)
|
100% |
39365
50.6 IPS |
|
|
Style Transfer (Q)
|
98% |
87030
112.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5295
195.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9412
347.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14953
553.8 IPS |
|
|
Text Classification (SP)
|
71% |
1583
2.29 KIPS |
|
|
Text Classification (HP)
|
71% |
2662
3.85 KIPS |
|
|
Text Classification (Q)
|
92% |
2609
3.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
2669
46.0 IPS |
|
|
Machine Translation (HP)
|
98% |
3701
64.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3663
63.3 IPS |
