Micro-Star International Co., Ltd. MS-7C88
Geekbench AI Score
3357
Single Precision Score
764
Half Precision Score
3316
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | frank_m_h_jaeger |
| Upload Date | August 19 2024 07:06 AM |
| Views | 8 |
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% |
2062
383.5 IPS |
|
|
Image Classification (HP)
|
100% |
125
23.2 IPS |
|
|
Image Classification (Q)
|
97% |
2878
537.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1764
28.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
207
3.35 IPS |
|
|
Image Segmentation (Q)
|
97% |
2209
35.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7375
8.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
5920
6.91 IPS |
|
|
Pose Estimation (Q)
|
87% |
13137
15.5 IPS |
|
|
Object Detection (SP)
|
100% |
2249
178.4 IPS |
|
|
Object Detection (HP)
|
100% |
178
14.1 IPS |
|
|
Object Detection (Q)
|
86% |
1864
149.8 IPS |
|
|
Face Detection (SP)
|
100% |
2404
28.6 IPS |
|
|
Face Detection (HP)
|
100% |
255
3.04 IPS |
|
|
Face Detection (Q)
|
96% |
3572
42.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7572
58.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
866
6.67 IPS |
|
|
Depth Estimation (Q)
|
76% |
6684
53.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17987
23.1 IPS |
|
|
Style Transfer (HP)
|
100% |
14167
18.2 IPS |
|
|
Style Transfer (Q)
|
87% |
15584
20.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3024
111.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2263
83.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3092
114.6 IPS |
|
|
Text Classification (SP)
|
100% |
1540
2.06 KIPS |
|
|
Text Classification (HP)
|
100% |
624
833.3 IPS |
|
|
Text Classification (Q)
|
97% |
449
600.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1977
34.1 IPS |
|
|
Machine Translation (HP)
|
100% |
564
9.72 IPS |
|
|
Machine Translation (Q)
|
60% |
2000
44.6 IPS |
