Micro-Star International Co., Ltd. MS-7E33
Geekbench AI Score
6353
Single Precision Score
9075
Half Precision Score
13011
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | edsinsi |
| Upload Date | January 09 2025 03:16 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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% |
4172
775.9 IPS |
|
|
Image Classification (HP)
|
100% |
6361
1.18 KIPS |
|
|
Image Classification (Q)
|
56% |
5745
1.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4969
80.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2764
44.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3630
58.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7933
9.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
33535
39.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
71466
83.7 IPS |
|
|
Object Detection (SP)
|
100% |
3883
308.0 IPS |
|
|
Object Detection (HP)
|
100% |
5613
445.2 IPS |
|
|
Object Detection (Q)
|
87% |
8771
704.0 IPS |
|
|
Face Detection (SP)
|
100% |
12051
143.2 IPS |
|
|
Face Detection (HP)
|
100% |
14886
176.9 IPS |
|
|
Face Detection (Q)
|
100% |
24295
288.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
10640
82.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
16860
129.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
32240
250.9 IPS |
|
|
Style Transfer (SP)
|
100% |
24647
31.7 IPS |
|
|
Style Transfer (HP)
|
100% |
48610
62.5 IPS |
|
|
Style Transfer (Q)
|
98% |
88971
114.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5162
190.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13331
492.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21446
794.2 IPS |
|
|
Text Classification (SP)
|
100% |
4164
5.56 KIPS |
|
|
Text Classification (HP)
|
100% |
2152
2.87 KIPS |
|
|
Text Classification (Q)
|
92% |
2166
2.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
2472
42.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3271
56.3 IPS |
|
|
Machine Translation (Q)
|
100% |
3286
56.6 IPS |
