Micro-Star International Co., Ltd. MS-7D96
Geekbench AI Score
10788
Single Precision Score
8753
Half Precision Score
7620
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | March 28 2025 08:20 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1660 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D96 |
| Motherboard | Micro-Star International Co., Ltd. MAG B760 TOMAHAWK WIFI (MS-7D96) |
| Power Plan | Hchstleistung |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12400F |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 5 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4272
794.4 IPS |
|
|
Image Classification (HP)
|
100% |
4074
757.6 IPS |
|
|
Image Classification (Q)
|
99% |
3527
657.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
7651
124.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
6435
104.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
6238
101.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
49906
58.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
29485
34.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
41061
48.1 IPS |
|
|
Object Detection (SP)
|
100% |
5600
444.2 IPS |
|
|
Object Detection (HP)
|
100% |
5294
420.0 IPS |
|
|
Object Detection (Q)
|
83% |
4395
355.1 IPS |
|
|
Face Detection (SP)
|
100% |
12396
147.3 IPS |
|
|
Face Detection (HP)
|
100% |
10867
129.1 IPS |
|
|
Face Detection (Q)
|
97% |
10150
121.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
25879
199.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
19786
152.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
18914
150.9 IPS |
|
|
Style Transfer (SP)
|
100% |
83427
107.2 IPS |
|
|
Style Transfer (HP)
|
100% |
56603
72.8 IPS |
|
|
Style Transfer (Q)
|
98% |
68186
87.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15279
564.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12426
458.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9635
356.8 IPS |
|
|
Text Classification (SP)
|
100% |
1737
2.32 KIPS |
|
|
Text Classification (HP)
|
100% |
1293
1.73 KIPS |
|
|
Text Classification (Q)
|
97% |
976
1.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3291
56.7 IPS |
|
|
Machine Translation (HP)
|
98% |
3301
57.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1352
25.3 IPS |
