Micro-Star International Co., Ltd. MS-7C88
Geekbench AI Score
2822
Single Precision Score
708
Half Precision Score
3105
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | frank_m_h_jaeger |
| Upload Date | August 18 2024 11:27 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-10900 |
| 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% |
1855
345.0 IPS |
|
|
Image Classification (HP)
|
100% |
125
23.3 IPS |
|
|
Image Classification (Q)
|
97% |
2839
529.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1695
27.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
206
3.33 IPS |
|
|
Image Segmentation (Q)
|
97% |
2204
35.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7457
8.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
5999
7.00 IPS |
|
|
Pose Estimation (Q)
|
87% |
13573
16.0 IPS |
|
|
Object Detection (SP)
|
100% |
1575
124.9 IPS |
|
|
Object Detection (HP)
|
100% |
168
13.3 IPS |
|
|
Object Detection (Q)
|
86% |
1562
125.6 IPS |
|
|
Face Detection (SP)
|
100% |
2053
24.4 IPS |
|
|
Face Detection (HP)
|
100% |
237
2.81 IPS |
|
|
Face Detection (Q)
|
96% |
2961
35.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5468
42.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
786
6.06 IPS |
|
|
Depth Estimation (Q)
|
76% |
5844
47.1 IPS |
|
|
Style Transfer (SP)
|
100% |
13523
17.4 IPS |
|
|
Style Transfer (HP)
|
100% |
9734
12.5 IPS |
|
|
Style Transfer (Q)
|
87% |
14963
19.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2262
83.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2302
85.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2922
108.3 IPS |
|
|
Text Classification (SP)
|
100% |
1496
2.00 KIPS |
|
|
Text Classification (HP)
|
100% |
533
711.3 IPS |
|
|
Text Classification (Q)
|
97% |
426
570.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1690
29.1 IPS |
|
|
Machine Translation (HP)
|
100% |
554
9.54 IPS |
|
|
Machine Translation (Q)
|
60% |
1951
43.5 IPS |
