Micro-Star International Co., Ltd. MS-7C80
Geekbench AI Score
17875
Single Precision Score
27741
Half Precision Score
11504
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 15 2025 11:04 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2080 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C80 |
| Motherboard | Micro-Star International Co., Ltd. MAG Z490 TOMAHAWK (MS-7C80) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-10900KF |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7300
1.36 KIPS |
|
|
Image Classification (HP)
|
100% |
10242
1.90 KIPS |
|
|
Image Classification (Q)
|
99% |
5318
991.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
11525
186.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
15548
252.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
9167
149.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
103004
120.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
303383
354.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
83606
98.0 IPS |
|
|
Object Detection (SP)
|
100% |
8760
694.9 IPS |
|
|
Object Detection (HP)
|
100% |
12907
1.02 KIPS |
|
|
Object Detection (Q)
|
85% |
6448
519.0 IPS |
|
|
Face Detection (SP)
|
100% |
22913
272.3 IPS |
|
|
Face Detection (HP)
|
100% |
32788
389.6 IPS |
|
|
Face Detection (Q)
|
97% |
16989
202.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
47058
362.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
76124
586.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
29559
236.8 IPS |
|
|
Style Transfer (SP)
|
100% |
198384
255.0 IPS |
|
|
Style Transfer (HP)
|
100% |
416144
535.0 IPS |
|
|
Style Transfer (Q)
|
98% |
147485
190.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30873
1.14 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
39081
1.44 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16426
608.2 IPS |
|
|
Text Classification (SP)
|
100% |
2050
2.74 KIPS |
|
|
Text Classification (HP)
|
99% |
3268
4.36 KIPS |
|
|
Text Classification (Q)
|
97% |
989
1.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3242
55.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3264
56.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1284
24.1 IPS |
