Micro-Star International Co., Ltd. MS-7E33
Geekbench AI Score
6451
Single Precision Score
3837
Half Precision Score
15288
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | edsinsi |
| Upload Date | January 09 2025 03:12 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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% |
4333
805.9 IPS |
|
|
Image Classification (HP)
|
100% |
1972
366.8 IPS |
|
|
Image Classification (Q)
|
100% |
9793
1.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5291
85.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2385
38.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
10603
171.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8004
9.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
5396
6.30 IPS |
|
|
Pose Estimation (Q)
|
96% |
32225
37.7 IPS |
|
|
Object Detection (SP)
|
100% |
3867
306.7 IPS |
|
|
Object Detection (HP)
|
100% |
2161
171.4 IPS |
|
|
Object Detection (Q)
|
88% |
10493
841.2 IPS |
|
|
Face Detection (SP)
|
100% |
12280
145.9 IPS |
|
|
Face Detection (HP)
|
100% |
5681
67.5 IPS |
|
|
Face Detection (Q)
|
100% |
27460
326.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
10568
81.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
6216
47.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
29579
230.0 IPS |
|
|
Style Transfer (SP)
|
100% |
25035
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
15881
20.4 IPS |
|
|
Style Transfer (Q)
|
98% |
91278
117.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5267
194.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3661
135.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17076
632.4 IPS |
|
|
Text Classification (SP)
|
100% |
4127
5.51 KIPS |
|
|
Text Classification (HP)
|
100% |
2437
3.25 KIPS |
|
|
Text Classification (Q)
|
92% |
6097
8.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
2491
42.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2522
43.4 IPS |
|
|
Machine Translation (Q)
|
100% |
2575
44.4 IPS |
