Micro-Star International Co., Ltd. MAG Z490 TOMAHAWK (MS-7C80) Micro-Star International Co., Ltd. MS-7C80
Geekbench AI Score
16845
Single Precision Score
26406
Half Precision Score
11036
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | fenom |
| Upload Date | November 16 2025 03:54 AM |
| Views | 3 |
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% |
6313
1.17 KIPS |
|
|
Image Classification (HP)
|
99% |
9571
1.79 KIPS |
|
|
Image Classification (Q)
|
100% |
4854
902.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
9556
154.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
12865
208.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
7897
128.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
102638
119.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
279750
326.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
82729
96.9 IPS |
|
|
Object Detection (SP)
|
100% |
8617
683.5 IPS |
|
|
Object Detection (HP)
|
100% |
12703
1.01 KIPS |
|
|
Object Detection (Q)
|
85% |
6495
522.9 IPS |
|
|
Face Detection (SP)
|
100% |
18698
222.2 IPS |
|
|
Face Detection (HP)
|
100% |
27705
329.2 IPS |
|
|
Face Detection (Q)
|
97% |
14204
169.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
45436
350.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
81237
625.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
29227
234.1 IPS |
|
|
Style Transfer (SP)
|
100% |
175354
225.4 IPS |
|
|
Style Transfer (HP)
|
100% |
409392
526.3 IPS |
|
|
Style Transfer (Q)
|
98% |
133422
172.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28888
1.07 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
40504
1.50 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17041
631.0 IPS |
|
|
Text Classification (SP)
|
100% |
2842
3.79 KIPS |
|
|
Text Classification (HP)
|
99% |
3574
4.77 KIPS |
|
|
Text Classification (Q)
|
97% |
1239
1.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
2819
48.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2825
48.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1113
20.9 IPS |
