Micro-Star International Co., Ltd. MS-7D90
Geekbench AI Score
26294
Single Precision Score
39329
Half Precision Score
20632
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 06 2025 11:04 PM |
| Views | 3 |
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-7D90 |
| Motherboard | Micro-Star International Co., Ltd. PRO B760M-G DDR4 (MS-7D90) |
| Power Plan | Bilanciato |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700K |
| Topology | 1 Processor, 12 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10401
1.93 KIPS |
|
|
Image Classification (HP)
|
99% |
16094
3.00 KIPS |
|
|
Image Classification (Q)
|
100% |
8886
1.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16137
261.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
19901
322.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
14980
243.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
171552
200.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
407940
476.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
148380
173.9 IPS |
|
|
Object Detection (SP)
|
100% |
12751
1.01 KIPS |
|
|
Object Detection (HP)
|
100% |
19103
1.52 KIPS |
|
|
Object Detection (Q)
|
85% |
11011
886.4 IPS |
|
|
Face Detection (SP)
|
100% |
33994
403.9 IPS |
|
|
Face Detection (HP)
|
100% |
43399
515.7 IPS |
|
|
Face Detection (Q)
|
97% |
30200
360.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
64040
493.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
112729
870.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
51164
409.0 IPS |
|
|
Style Transfer (SP)
|
100% |
298172
383.3 IPS |
|
|
Style Transfer (HP)
|
100% |
678949
872.8 IPS |
|
|
Style Transfer (Q)
|
98% |
263931
340.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
44082
1.63 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
58050
2.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32673
1.21 KIPS |
|
|
Text Classification (SP)
|
100% |
3507
4.68 KIPS |
|
|
Text Classification (HP)
|
99% |
4312
5.76 KIPS |
|
|
Text Classification (Q)
|
97% |
2089
2.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
4288
73.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4267
73.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2310
43.3 IPS |
