Micro-Star International Co., Ltd. MS-7E32
Geekbench AI Score
6116
Single Precision Score
9496
Half Precision Score
14206
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Surinder |
| Upload Date | May 08 2025 07:02 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(R) Core(TM) Ultra 9 285K |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4152
772.2 IPS |
|
|
Image Classification (HP)
|
100% |
6263
1.16 KIPS |
|
|
Image Classification (Q)
|
100% |
8506
1.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4633
75.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9748
158.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
12651
205.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
12211
14.2 IPS |
|
|
Pose Estimation (HP)
|
99% |
11402
13.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
38487
45.1 IPS |
|
|
Object Detection (SP)
|
100% |
3885
308.2 IPS |
|
|
Object Detection (HP)
|
100% |
6050
479.9 IPS |
|
|
Object Detection (Q)
|
88% |
9729
779.7 IPS |
|
|
Face Detection (SP)
|
100% |
9283
110.3 IPS |
|
|
Face Detection (HP)
|
100% |
17153
203.8 IPS |
|
|
Face Detection (Q)
|
100% |
25522
303.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
13366
103.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
23322
180.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
26418
205.3 IPS |
|
|
Style Transfer (SP)
|
100% |
30267
38.9 IPS |
|
|
Style Transfer (HP)
|
100% |
43292
55.7 IPS |
|
|
Style Transfer (Q)
|
98% |
89359
115.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5424
200.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9678
357.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15168
561.7 IPS |
|
|
Text Classification (SP)
|
71% |
1669
2.41 KIPS |
|
|
Text Classification (HP)
|
71% |
2491
3.60 KIPS |
|
|
Text Classification (Q)
|
92% |
2696
3.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
2362
40.7 IPS |
|
|
Machine Translation (HP)
|
96% |
3392
58.7 IPS |
|
|
Machine Translation (Q)
|
100% |
3374
58.1 IPS |
