Micro-Star International Co., Ltd. MS-7E32
Geekbench AI Score
7251
Single Precision Score
5217
Half Precision Score
17807
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | werfree |
| Upload Date | January 20 2026 02:41 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265K |
| 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% |
4578
851.5 IPS |
|
|
Image Classification (HP)
|
100% |
3414
634.9 IPS |
|
|
Image Classification (Q)
|
100% |
11018
2.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5699
92.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2675
43.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
12962
210.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8573
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
5755
6.72 IPS |
|
|
Pose Estimation (Q)
|
96% |
32734
38.3 IPS |
|
|
Object Detection (SP)
|
100% |
4275
339.1 IPS |
|
|
Object Detection (HP)
|
100% |
3360
266.5 IPS |
|
|
Object Detection (Q)
|
88% |
11955
958.3 IPS |
|
|
Face Detection (SP)
|
100% |
12256
145.6 IPS |
|
|
Face Detection (HP)
|
100% |
10539
125.2 IPS |
|
|
Face Detection (Q)
|
100% |
31256
371.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
10705
82.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
8068
62.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
32610
253.5 IPS |
|
|
Style Transfer (SP)
|
100% |
25792
33.2 IPS |
|
|
Style Transfer (HP)
|
100% |
16741
21.5 IPS |
|
|
Style Transfer (Q)
|
98% |
93850
121.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5460
201.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3809
140.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18136
671.6 IPS |
|
|
Text Classification (SP)
|
100% |
4094
5.46 KIPS |
|
|
Text Classification (HP)
|
100% |
2692
3.59 KIPS |
|
|
Text Classification (Q)
|
92% |
6059
8.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
5561
95.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5802
99.9 IPS |
|
|
Machine Translation (Q)
|
100% |
5458
94.0 IPS |
