Micro-Star International Co., Ltd. MS-7C88
Geekbench AI Score
4406
Single Precision Score
4378
Half Precision Score
6561
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | frank_m_h_jaeger |
| Upload Date | August 19 2024 07:13 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i9-10900 CPU @ 2.80GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C88 |
| Motherboard | Micro-Star International Co., Ltd. B460M-A PRO (MS-7C88) |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i9-10900 |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 2.81 GHz |
| Cluster 1 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2508
466.4 IPS |
|
|
Image Classification (HP)
|
100% |
2361
439.1 IPS |
|
|
Image Classification (Q)
|
100% |
3685
685.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3587
58.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3639
59.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
5068
82.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7589
8.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
7589
8.86 IPS |
|
|
Pose Estimation (Q)
|
94% |
15486
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
3176
251.9 IPS |
|
|
Object Detection (HP)
|
100% |
3095
245.5 IPS |
|
|
Object Detection (Q)
|
87% |
5430
435.5 IPS |
|
|
Face Detection (SP)
|
100% |
5819
69.1 IPS |
|
|
Face Detection (HP)
|
100% |
5810
69.0 IPS |
|
|
Face Detection (Q)
|
97% |
14572
173.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8961
69.0 IPS |
|
|
Depth Estimation (HP)
|
100% |
9049
69.7 IPS |
|
|
Depth Estimation (Q)
|
79% |
10118
80.2 IPS |
|
|
Style Transfer (SP)
|
100% |
15269
19.6 IPS |
|
|
Style Transfer (HP)
|
100% |
15450
19.9 IPS |
|
|
Style Transfer (Q)
|
98% |
44427
57.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4722
174.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4646
171.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
8553
316.8 IPS |
|
|
Text Classification (SP)
|
100% |
951
1.27 KIPS |
|
|
Text Classification (HP)
|
100% |
941
1.26 KIPS |
|
|
Text Classification (Q)
|
91% |
699
938.9 IPS |
|
|
Machine Translation (SP)
|
100% |
3560
61.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3616
62.3 IPS |
|
|
Machine Translation (Q)
|
90% |
2405
41.8 IPS |
