Micro-Star International Co., Ltd. MS-7C75
Geekbench AI Score
7202
Single Precision Score
7252
Half Precision Score
5386
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | TTomi77123 |
| Upload Date | December 14 2024 07:10 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C75 |
| Motherboard | Micro-Star International Co., Ltd. Z490-A PRO (MS-7C75) |
| Power Plan | Teljestmnycentrikus |
| CPU Information | |
|---|---|
| Name | Intel Core i5-10600KF |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 4.10 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1886
350.7 IPS |
|
|
Image Classification (HP)
|
100% |
3081
573.0 IPS |
|
|
Image Classification (Q)
|
99% |
1684
314.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
4475
72.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4258
69.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3824
62.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
50903
59.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
28073
32.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
41447
48.6 IPS |
|
|
Object Detection (SP)
|
100% |
2446
194.0 IPS |
|
|
Object Detection (HP)
|
100% |
3791
300.7 IPS |
|
|
Object Detection (Q)
|
84% |
2163
174.5 IPS |
|
|
Face Detection (SP)
|
100% |
4868
57.8 IPS |
|
|
Face Detection (HP)
|
100% |
7620
90.5 IPS |
|
|
Face Detection (Q)
|
97% |
4397
52.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
16374
126.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
15501
119.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
12547
100.1 IPS |
|
|
Style Transfer (SP)
|
100% |
83662
107.5 IPS |
|
|
Style Transfer (HP)
|
100% |
49009
63.0 IPS |
|
|
Style Transfer (Q)
|
98% |
65051
83.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14566
537.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11587
427.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9053
335.2 IPS |
|
|
Text Classification (SP)
|
100% |
1489
1.99 KIPS |
|
|
Text Classification (HP)
|
100% |
1826
2.44 KIPS |
|
|
Text Classification (Q)
|
97% |
915
1.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
2473
42.6 IPS |
|
|
Machine Translation (HP)
|
96% |
2354
40.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1199
22.5 IPS |
