Micro-Star International Co., Ltd. MS-7C80
Geekbench AI Score
16640
Single Precision Score
26361
Half Precision Score
11035
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 16 2025 03:52 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (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 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5829
1.08 KIPS |
|
|
Image Classification (HP)
|
99% |
9657
1.80 KIPS |
|
|
Image Classification (Q)
|
100% |
4879
907.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
9279
150.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
12700
205.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
7865
127.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
103679
121.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
275686
321.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
81495
95.5 IPS |
|
|
Object Detection (SP)
|
100% |
8492
673.6 IPS |
|
|
Object Detection (HP)
|
100% |
13009
1.03 KIPS |
|
|
Object Detection (Q)
|
85% |
6637
534.3 IPS |
|
|
Face Detection (SP)
|
100% |
18313
217.6 IPS |
|
|
Face Detection (HP)
|
100% |
27672
328.8 IPS |
|
|
Face Detection (Q)
|
97% |
13813
164.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
46068
354.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
81765
629.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
30271
242.5 IPS |
|
|
Style Transfer (SP)
|
100% |
173248
222.7 IPS |
|
|
Style Transfer (HP)
|
100% |
408481
525.1 IPS |
|
|
Style Transfer (Q)
|
98% |
132801
171.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29483
1.09 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
39226
1.45 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17036
630.8 IPS |
|
|
Text Classification (SP)
|
100% |
2841
3.79 KIPS |
|
|
Text Classification (HP)
|
99% |
3582
4.78 KIPS |
|
|
Text Classification (Q)
|
97% |
1227
1.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
2793
48.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2837
48.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1112
20.9 IPS |
