Micro-Star International Co., Ltd. MS-7C80
Geekbench AI Score
4908
Single Precision Score
4991
Half Precision Score
13274
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | ragnarokchan |
| Upload Date | October 27 2024 07:14 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 11th Gen Intel(R) Core(TM) i7-11700F @ 2.50GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C80 |
| Motherboard | Micro-Star International Co., Ltd. MAG Z490 TOMAHAWK (MS-7C80) |
| CPU Information | |
|---|---|
| Name | Intel Core i7-11700F |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 167 Stepping 1 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2904
540.1 IPS |
|
|
Image Classification (HP)
|
100% |
3242
602.9 IPS |
|
|
Image Classification (Q)
|
100% |
8957
1.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2969
48.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3024
49.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
6620
107.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7295
8.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
7299
8.52 IPS |
|
|
Pose Estimation (Q)
|
96% |
28875
33.8 IPS |
|
|
Object Detection (SP)
|
100% |
2774
220.1 IPS |
|
|
Object Detection (HP)
|
100% |
2774
220.0 IPS |
|
|
Object Detection (Q)
|
88% |
9506
762.0 IPS |
|
|
Face Detection (SP)
|
100% |
5131
61.0 IPS |
|
|
Face Detection (HP)
|
100% |
5099
60.6 IPS |
|
|
Face Detection (Q)
|
100% |
21549
256.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8645
66.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
8720
67.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
23601
183.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18281
23.5 IPS |
|
|
Style Transfer (HP)
|
100% |
18522
23.8 IPS |
|
|
Style Transfer (Q)
|
98% |
74721
96.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4126
152.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4151
153.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14484
536.4 IPS |
|
|
Text Classification (SP)
|
100% |
3431
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
3460
4.62 KIPS |
|
|
Text Classification (Q)
|
92% |
4708
6.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
4051
69.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4091
70.5 IPS |
|
|
Machine Translation (Q)
|
100% |
4027
69.4 IPS |
