Micro-Star International Co., Ltd. MS-7D32
Geekbench AI Score
24636
Single Precision Score
35355
Half Precision Score
19462
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 20 2025 06:17 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D32 |
| Motherboard | Micro-Star International Co., Ltd. MAG Z690 TOMAHAWK WIFI (MS-7D32) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700K |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10192
1.90 KIPS |
|
|
Image Classification (HP)
|
99% |
14115
2.63 KIPS |
|
|
Image Classification (Q)
|
100% |
9022
1.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13584
220.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
16119
261.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
12713
206.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
162249
189.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
388899
453.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
146513
171.7 IPS |
|
|
Object Detection (SP)
|
100% |
11518
913.6 IPS |
|
|
Object Detection (HP)
|
100% |
16197
1.28 KIPS |
|
|
Object Detection (Q)
|
85% |
10020
806.6 IPS |
|
|
Face Detection (SP)
|
100% |
30698
364.8 IPS |
|
|
Face Detection (HP)
|
100% |
38131
453.1 IPS |
|
|
Face Detection (Q)
|
97% |
27313
325.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
66100
509.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
103601
800.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
52017
415.9 IPS |
|
|
Style Transfer (SP)
|
100% |
275589
354.3 IPS |
|
|
Style Transfer (HP)
|
100% |
597235
767.8 IPS |
|
|
Style Transfer (Q)
|
98% |
249554
321.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
44307
1.64 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
56177
2.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32582
1.21 KIPS |
|
|
Text Classification (SP)
|
100% |
3639
4.86 KIPS |
|
|
Text Classification (HP)
|
99% |
4568
6.10 KIPS |
|
|
Text Classification (Q)
|
97% |
2171
2.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
3531
60.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3517
60.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1847
34.6 IPS |
