Micro-Star International Co., Ltd. MS-7C35
Geekbench AI Score
30631
Single Precision Score
44313
Half Precision Score
23195
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | bagaget |
| Upload Date | August 24 2024 05:19 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% |
11884
2.21 KIPS |
|
|
Image Classification (HP)
|
99% |
16379
3.05 KIPS |
|
|
Image Classification (Q)
|
100% |
10161
1.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20052
325.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
25129
407.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
18297
297.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
206447
240.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
475388
554.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
184021
215.5 IPS |
|
|
Object Detection (SP)
|
100% |
14777
1.17 KIPS |
|
|
Object Detection (HP)
|
100% |
21137
1.68 KIPS |
|
|
Object Detection (Q)
|
89% |
12665
1.01 KIPS |
|
|
Face Detection (SP)
|
100% |
39383
468.0 IPS |
|
|
Face Detection (HP)
|
100% |
51905
616.7 IPS |
|
|
Face Detection (Q)
|
97% |
32699
389.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
74253
572.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
123549
951.9 IPS |
|
|
Depth Estimation (Q)
|
75% |
56952
460.0 IPS |
|
|
Style Transfer (SP)
|
100% |
366835
471.6 IPS |
|
|
Style Transfer (HP)
|
100% |
825514
1.06 KIPS |
|
|
Style Transfer (Q)
|
98% |
321257
414.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
51492
1.90 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
62692
2.31 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36916
1.37 KIPS |
|
|
Text Classification (SP)
|
100% |
3489
4.66 KIPS |
|
|
Text Classification (HP)
|
99% |
4122
5.50 KIPS |
|
|
Text Classification (Q)
|
97% |
2131
2.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
5190
89.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5161
88.9 IPS |
|
|
Machine Translation (Q)
|
60% |
2211
49.3 IPS |
