Micro-Star International Co., Ltd. MS-7E33
Geekbench AI Score
5367
Single Precision Score
3147
Half Precision Score
12220
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | edsinsi |
| Upload Date | January 09 2025 03:30 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% |
4291
798.1 IPS |
|
|
Image Classification (HP)
|
100% |
1850
344.1 IPS |
|
|
Image Classification (Q)
|
100% |
9710
1.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5259
85.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2296
37.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10450
169.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7370
8.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
4602
5.37 IPS |
|
|
Pose Estimation (Q)
|
96% |
27553
32.3 IPS |
|
|
Object Detection (SP)
|
100% |
2461
195.2 IPS |
|
|
Object Detection (HP)
|
100% |
1221
96.9 IPS |
|
|
Object Detection (Q)
|
88% |
3915
313.8 IPS |
|
|
Face Detection (SP)
|
100% |
8498
101.0 IPS |
|
|
Face Detection (HP)
|
100% |
3588
42.6 IPS |
|
|
Face Detection (Q)
|
100% |
10353
123.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4408
34.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3360
25.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
28764
223.6 IPS |
|
|
Style Transfer (SP)
|
100% |
23715
30.5 IPS |
|
|
Style Transfer (HP)
|
100% |
15653
20.1 IPS |
|
|
Style Transfer (Q)
|
98% |
89294
115.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4981
183.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3492
129.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16853
624.1 IPS |
|
|
Text Classification (SP)
|
100% |
4184
5.58 KIPS |
|
|
Text Classification (HP)
|
100% |
2423
3.23 KIPS |
|
|
Text Classification (Q)
|
92% |
6023
8.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
2620
45.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2507
43.2 IPS |
|
|
Machine Translation (Q)
|
100% |
2515
43.3 IPS |
