Micro-Star International Co., Ltd. MS-7C35
Geekbench AI Score
30452
Single Precision Score
44226
Half Precision Score
22901
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | bagaget |
| Upload Date | August 23 2024 10:50 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Ti SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C35 |
| Motherboard | Micro-Star International Co., Ltd. MEG X570 UNIFY (MS-7C35) |
| Power Plan | AMD Ryzen Ultimate HighPower 11-v4 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11815
2.20 KIPS |
|
|
Image Classification (HP)
|
99% |
16309
3.04 KIPS |
|
|
Image Classification (Q)
|
100% |
10153
1.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19971
323.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
25128
407.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
17224
280.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
205539
239.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
472706
551.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
183185
214.5 IPS |
|
|
Object Detection (SP)
|
100% |
14694
1.17 KIPS |
|
|
Object Detection (HP)
|
100% |
20919
1.66 KIPS |
|
|
Object Detection (Q)
|
89% |
12461
997.6 IPS |
|
|
Face Detection (SP)
|
100% |
39033
463.8 IPS |
|
|
Face Detection (HP)
|
100% |
51740
614.8 IPS |
|
|
Face Detection (Q)
|
97% |
32500
387.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
73781
568.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
123054
948.1 IPS |
|
|
Depth Estimation (Q)
|
75% |
56692
457.9 IPS |
|
|
Style Transfer (SP)
|
100% |
365002
469.2 IPS |
|
|
Style Transfer (HP)
|
100% |
818178
1.05 KIPS |
|
|
Style Transfer (Q)
|
98% |
314401
405.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
50940
1.88 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
61885
2.29 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36555
1.35 KIPS |
|
|
Text Classification (SP)
|
100% |
3477
4.64 KIPS |
|
|
Text Classification (HP)
|
99% |
4265
5.69 KIPS |
|
|
Text Classification (Q)
|
97% |
2142
2.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
5169
89.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5138
88.5 IPS |
|
|
Machine Translation (Q)
|
60% |
2192
48.9 IPS |
