Micro-Star International Co., Ltd. MS-7E33
Geekbench AI Score
6331
Single Precision Score
2194
Half Precision Score
9938
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | edsinsi |
| Upload Date | January 09 2025 03:10 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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-7E33 |
| Motherboard | Micro-Star International Co., Ltd. MPG Z890I EDGE TI WIFI (MS-7E33) |
| 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% |
5243
975.0 IPS |
|
|
Image Classification (HP)
|
100% |
794
147.7 IPS |
|
|
Image Classification (Q)
|
99% |
9439
1.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2463
39.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1458
23.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4852
78.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
12519
14.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
5389
6.29 IPS |
|
|
Pose Estimation (Q)
|
94% |
40439
47.4 IPS |
|
|
Object Detection (SP)
|
100% |
4510
357.8 IPS |
|
|
Object Detection (HP)
|
100% |
1049
83.2 IPS |
|
|
Object Detection (Q)
|
86% |
10495
843.5 IPS |
|
|
Face Detection (SP)
|
100% |
11974
142.3 IPS |
|
|
Face Detection (HP)
|
100% |
2450
29.1 IPS |
|
|
Face Detection (Q)
|
97% |
13026
155.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
14677
113.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2952
22.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
22476
179.3 IPS |
|
|
Style Transfer (SP)
|
100% |
28131
36.2 IPS |
|
|
Style Transfer (HP)
|
100% |
15702
20.2 IPS |
|
|
Style Transfer (Q)
|
98% |
29219
37.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4919
181.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3452
127.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6713
248.6 IPS |
|
|
Text Classification (SP)
|
100% |
2048
2.73 KIPS |
|
|
Text Classification (HP)
|
100% |
1014
1.35 KIPS |
|
|
Text Classification (Q)
|
97% |
1862
2.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
2850
49.1 IPS |
|
|
Machine Translation (HP)
|
100% |
997
17.2 IPS |
|
|
Machine Translation (Q)
|
65% |
4524
90.9 IPS |
