Micro-Star International Co., Ltd. MS-7C75
Geekbench AI Score
11382
Single Precision Score
17448
Half Precision Score
8031
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | egll |
| Upload Date | September 11 2024 03:35 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2060 SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C75 |
| Motherboard | Micro-Star International Co., Ltd. Z490-A PRO (MS-7C75) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-10700K |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 3.79 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4949
920.4 IPS |
|
|
Image Classification (HP)
|
100% |
7523
1.40 KIPS |
|
|
Image Classification (Q)
|
100% |
3724
692.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
6897
111.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
7908
128.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
5822
94.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
57802
67.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
184772
215.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
49783
58.3 IPS |
|
|
Object Detection (SP)
|
100% |
5983
474.6 IPS |
|
|
Object Detection (HP)
|
100% |
9089
721.0 IPS |
|
|
Object Detection (Q)
|
89% |
4334
346.9 IPS |
|
|
Face Detection (SP)
|
100% |
13335
158.4 IPS |
|
|
Face Detection (HP)
|
100% |
19232
228.5 IPS |
|
|
Face Detection (Q)
|
97% |
10267
122.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
28687
221.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
48028
371.1 IPS |
|
|
Depth Estimation (Q)
|
76% |
20334
163.6 IPS |
|
|
Style Transfer (SP)
|
100% |
106881
137.4 IPS |
|
|
Style Transfer (HP)
|
100% |
203057
261.0 IPS |
|
|
Style Transfer (Q)
|
98% |
87968
113.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
18493
682.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26819
990.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11645
431.2 IPS |
|
|
Text Classification (SP)
|
100% |
1533
2.05 KIPS |
|
|
Text Classification (HP)
|
100% |
2035
2.72 KIPS |
|
|
Text Classification (Q)
|
97% |
1018
1.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
2669
46.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2558
44.1 IPS |
|
|
Machine Translation (Q)
|
60% |
1097
24.5 IPS |
