Micro-Star International Co., Ltd. MS-7D90
Geekbench AI Score
13745
Single Precision Score
23683
Half Precision Score
9170
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | April 13 2025 12:08 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D90 |
| Motherboard | Micro-Star International Co., Ltd. B760M BOMBER WIFI (MS-7D90) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14400F |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6091
1.13 KIPS |
|
|
Image Classification (HP)
|
99% |
10423
1.94 KIPS |
|
|
Image Classification (Q)
|
99% |
4394
819.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
9049
146.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
13588
220.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
7260
118.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
63473
74.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
167324
195.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
55923
65.5 IPS |
|
|
Object Detection (SP)
|
100% |
6972
553.1 IPS |
|
|
Object Detection (HP)
|
100% |
12852
1.02 KIPS |
|
|
Object Detection (Q)
|
84% |
5563
448.7 IPS |
|
|
Face Detection (SP)
|
100% |
16055
190.8 IPS |
|
|
Face Detection (HP)
|
100% |
26376
313.4 IPS |
|
|
Face Detection (Q)
|
97% |
11534
137.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
33352
257.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
63355
489.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
22707
181.8 IPS |
|
|
Style Transfer (SP)
|
100% |
111011
142.7 IPS |
|
|
Style Transfer (HP)
|
100% |
278996
358.7 IPS |
|
|
Style Transfer (Q)
|
98% |
85060
109.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20475
756.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35355
1.31 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
12941
479.2 IPS |
|
|
Text Classification (SP)
|
100% |
2454
3.28 KIPS |
|
|
Text Classification (HP)
|
99% |
3300
4.40 KIPS |
|
|
Text Classification (Q)
|
97% |
1190
1.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
3305
56.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3352
57.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1236
23.2 IPS |
