Micro-Star International Co., Ltd. MS-7C06
Geekbench AI Score
9908
Single Precision Score
7884
Half Precision Score
7422
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 29 2025 01:05 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1660 SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro for Workstations (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C06 |
| Motherboard | Micro-Star International Co., Ltd. MEG X299 CREATION (MS-7C06) |
| Power Plan | Bitsum Highest Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-10900X |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 7 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3884
722.3 IPS |
|
|
Image Classification (HP)
|
100% |
3646
678.1 IPS |
|
|
Image Classification (Q)
|
99% |
3196
596.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
6535
105.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5497
89.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
5604
91.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
43319
50.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
26049
30.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
38596
45.2 IPS |
|
|
Object Detection (SP)
|
100% |
4957
393.2 IPS |
|
|
Object Detection (HP)
|
100% |
4508
357.6 IPS |
|
|
Object Detection (Q)
|
83% |
4292
346.7 IPS |
|
|
Face Detection (SP)
|
100% |
11744
139.5 IPS |
|
|
Face Detection (HP)
|
100% |
9719
115.5 IPS |
|
|
Face Detection (Q)
|
97% |
10253
122.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
25619
197.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
18804
144.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
18910
150.9 IPS |
|
|
Style Transfer (SP)
|
100% |
77218
99.3 IPS |
|
|
Style Transfer (HP)
|
100% |
52096
67.0 IPS |
|
|
Style Transfer (Q)
|
98% |
66217
85.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15750
581.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11370
419.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9791
362.6 IPS |
|
|
Text Classification (SP)
|
100% |
1784
2.38 KIPS |
|
|
Text Classification (HP)
|
100% |
1469
1.96 KIPS |
|
|
Text Classification (Q)
|
97% |
1104
1.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
2564
44.2 IPS |
|
|
Machine Translation (HP)
|
98% |
2481
42.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1232
23.1 IPS |
