Micro-Star International Co., Ltd. MS-7E32
Geekbench AI Score
6042
Single Precision Score
9453
Half Precision Score
14109
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | wargames06 |
| Upload Date | April 11 2025 03:01 AM |
| Views | 5 |
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(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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4126
767.3 IPS |
|
|
Image Classification (HP)
|
100% |
6282
1.17 KIPS |
|
|
Image Classification (Q)
|
100% |
8288
1.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4342
70.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9506
154.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
13363
216.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
12245
14.3 IPS |
|
|
Pose Estimation (HP)
|
99% |
11460
13.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
36977
43.3 IPS |
|
|
Object Detection (SP)
|
100% |
3857
305.9 IPS |
|
|
Object Detection (HP)
|
100% |
6077
482.0 IPS |
|
|
Object Detection (Q)
|
88% |
9801
785.4 IPS |
|
|
Face Detection (SP)
|
100% |
8814
104.7 IPS |
|
|
Face Detection (HP)
|
100% |
16652
197.9 IPS |
|
|
Face Detection (Q)
|
100% |
24885
295.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
13257
102.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
23250
179.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
26257
204.1 IPS |
|
|
Style Transfer (SP)
|
100% |
30554
39.3 IPS |
|
|
Style Transfer (HP)
|
100% |
42134
54.2 IPS |
|
|
Style Transfer (Q)
|
98% |
85280
110.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5405
199.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9695
358.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15214
563.4 IPS |
|
|
Text Classification (SP)
|
71% |
1717
2.48 KIPS |
|
|
Text Classification (HP)
|
71% |
2593
3.75 KIPS |
|
|
Text Classification (Q)
|
92% |
2766
3.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
2315
39.9 IPS |
|
|
Machine Translation (HP)
|
96% |
3344
57.8 IPS |
|
|
Machine Translation (Q)
|
100% |
3322
57.2 IPS |
