Micro-Star International Co., Ltd. MS-7E33
Geekbench AI Score
6320
Single Precision Score
10001
Half Precision Score
14668
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | i0ntempest |
| Upload Date | July 09 2025 05:59 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro Insider Preview (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E33 |
| Motherboard | Micro-Star International Co., Ltd. MPG Z890I EDGE TI WIFI (MS-7E33) |
| Power Plan | Balanced |
| 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 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4271
794.3 IPS |
|
|
Image Classification (HP)
|
100% |
6534
1.22 KIPS |
|
|
Image Classification (Q)
|
100% |
8591
1.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5030
81.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
10197
165.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
12301
199.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
12292
14.3 IPS |
|
|
Pose Estimation (HP)
|
99% |
11519
13.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
37105
43.4 IPS |
|
|
Object Detection (SP)
|
100% |
3993
316.7 IPS |
|
|
Object Detection (HP)
|
100% |
6299
499.6 IPS |
|
|
Object Detection (Q)
|
88% |
10320
827.0 IPS |
|
|
Face Detection (SP)
|
100% |
10398
123.6 IPS |
|
|
Face Detection (HP)
|
100% |
19374
230.2 IPS |
|
|
Face Detection (Q)
|
100% |
28430
337.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
13682
105.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
24019
185.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
26579
206.6 IPS |
|
|
Style Transfer (SP)
|
100% |
30875
39.7 IPS |
|
|
Style Transfer (HP)
|
100% |
42514
54.7 IPS |
|
|
Style Transfer (Q)
|
98% |
85566
110.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5451
201.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9731
359.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15294
566.4 IPS |
|
|
Text Classification (SP)
|
71% |
1760
2.55 KIPS |
|
|
Text Classification (HP)
|
71% |
2672
3.87 KIPS |
|
|
Text Classification (Q)
|
92% |
2830
3.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
2289
39.4 IPS |
|
|
Machine Translation (HP)
|
98% |
4028
69.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4072
70.4 IPS |
