Micro-Star International Co., Ltd. MS-7D32
Geekbench AI Score
25889
Single Precision Score
39567
Half Precision Score
19701
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 18 2025 08:27 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 |
| 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 i5-12600K |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9283
1.73 KIPS |
|
|
Image Classification (HP)
|
99% |
15791
2.95 KIPS |
|
|
Image Classification (Q)
|
100% |
8143
1.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19668
318.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
26042
422.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
17192
279.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
148638
173.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
346698
404.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
127162
149.0 IPS |
|
|
Object Detection (SP)
|
100% |
12401
983.6 IPS |
|
|
Object Detection (HP)
|
100% |
19225
1.52 KIPS |
|
|
Object Detection (Q)
|
85% |
10790
868.6 IPS |
|
|
Face Detection (SP)
|
100% |
35199
418.2 IPS |
|
|
Face Detection (HP)
|
100% |
49646
589.9 IPS |
|
|
Face Detection (Q)
|
97% |
29563
352.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
61654
475.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
101102
778.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
48310
385.7 IPS |
|
|
Style Transfer (SP)
|
100% |
250987
322.6 IPS |
|
|
Style Transfer (HP)
|
100% |
552524
710.3 IPS |
|
|
Style Transfer (Q)
|
98% |
219428
282.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
43155
1.59 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
50131
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31532
1.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3612
4.82 KIPS |
|
|
Text Classification (HP)
|
99% |
4546
6.07 KIPS |
|
|
Text Classification (Q)
|
97% |
2161
2.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
4735
81.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5429
93.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2148
40.3 IPS |
