Micro-Star International Co., Ltd. MS-7D04
Geekbench AI Score
19920
Single Precision Score
32393
Half Precision Score
32941
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Willian |
| Upload Date | December 15 2024 02:09 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) B580 Graphics (dGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D04 |
| Motherboard | Micro-Star International Co., Ltd. MEG Z590 ACE GOLD EDITION (MS-7D04) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-11700K |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 167 Stepping 1 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10265
1.91 KIPS |
|
|
Image Classification (HP)
|
100% |
14161
2.63 KIPS |
|
|
Image Classification (Q)
|
100% |
13629
2.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17946
290.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
23041
373.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
23620
382.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
83218
97.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
308611
360.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
510654
597.9 IPS |
|
|
Object Detection (SP)
|
100% |
9821
779.0 IPS |
|
|
Object Detection (HP)
|
100% |
15961
1.27 KIPS |
|
|
Object Detection (Q)
|
88% |
15160
1.21 KIPS |
|
|
Face Detection (SP)
|
100% |
30953
367.8 IPS |
|
|
Face Detection (HP)
|
100% |
42681
507.1 IPS |
|
|
Face Detection (Q)
|
100% |
44888
533.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
58614
451.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
112280
865.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
114645
891.5 IPS |
|
|
Style Transfer (SP)
|
100% |
186544
239.8 IPS |
|
|
Style Transfer (HP)
|
100% |
504818
649.0 IPS |
|
|
Style Transfer (Q)
|
98% |
543806
701.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28508
1.05 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
48953
1.81 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43219
1.60 KIPS |
|
|
Text Classification (SP)
|
100% |
2372
3.17 KIPS |
|
|
Text Classification (HP)
|
100% |
2316
3.09 KIPS |
|
|
Text Classification (Q)
|
92% |
1767
2.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
2856
49.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2886
49.7 IPS |
|
|
Machine Translation (Q)
|
100% |
2825
48.7 IPS |
