Micro-Star International Co., Ltd. MS-7E32
Geekbench AI Score
5983
Single Precision Score
9454
Half Precision Score
14208
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | pianohello |
| Upload Date | January 24 2026 07:44 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4088
760.1 IPS |
|
|
Image Classification (HP)
|
100% |
6216
1.16 KIPS |
|
|
Image Classification (Q)
|
100% |
8417
1.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4275
69.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9238
149.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
11431
185.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
12007
14.0 IPS |
|
|
Pose Estimation (HP)
|
99% |
11230
13.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
37986
44.5 IPS |
|
|
Object Detection (SP)
|
100% |
3663
290.5 IPS |
|
|
Object Detection (HP)
|
100% |
5943
471.4 IPS |
|
|
Object Detection (Q)
|
88% |
9919
794.9 IPS |
|
|
Face Detection (SP)
|
100% |
8179
97.2 IPS |
|
|
Face Detection (HP)
|
100% |
16974
201.7 IPS |
|
|
Face Detection (Q)
|
100% |
26673
316.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
12873
99.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
23007
177.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
26360
204.9 IPS |
|
|
Style Transfer (SP)
|
100% |
31396
40.4 IPS |
|
|
Style Transfer (HP)
|
100% |
40356
51.9 IPS |
|
|
Style Transfer (Q)
|
98% |
86828
112.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5317
196.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9428
348.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15038
556.9 IPS |
|
|
Text Classification (SP)
|
71% |
1632
2.36 KIPS |
|
|
Text Classification (HP)
|
71% |
2711
3.92 KIPS |
|
|
Text Classification (Q)
|
92% |
2678
3.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
2669
46.0 IPS |
|
|
Machine Translation (HP)
|
98% |
3697
63.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3763
65.0 IPS |
