Micro-Star International Co., Ltd. MS-7D90
Geekbench AI Score
16416
Single Precision Score
27673
Half Precision Score
13275
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 20 2025 07:38 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 |
| 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 i5-13400F |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6047
1.12 KIPS |
|
|
Image Classification (HP)
|
99% |
10443
1.95 KIPS |
|
|
Image Classification (Q)
|
99% |
6157
1.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11761
190.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
16140
261.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
10739
174.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
83714
97.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
236630
276.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
72190
84.6 IPS |
|
|
Object Detection (SP)
|
100% |
8564
679.3 IPS |
|
|
Object Detection (HP)
|
100% |
14632
1.16 KIPS |
|
|
Object Detection (Q)
|
84% |
7615
614.2 IPS |
|
|
Face Detection (SP)
|
100% |
20447
243.0 IPS |
|
|
Face Detection (HP)
|
100% |
32762
389.3 IPS |
|
|
Face Detection (Q)
|
97% |
18131
216.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
39897
307.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
77012
593.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
34580
276.6 IPS |
|
|
Style Transfer (SP)
|
100% |
119742
153.9 IPS |
|
|
Style Transfer (HP)
|
100% |
313963
403.6 IPS |
|
|
Style Transfer (Q)
|
98% |
122766
158.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26646
983.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45360
1.67 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
18739
693.9 IPS |
|
|
Text Classification (SP)
|
100% |
2902
3.87 KIPS |
|
|
Text Classification (HP)
|
99% |
3227
4.31 KIPS |
|
|
Text Classification (Q)
|
97% |
1861
2.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3692
63.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3893
67.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1743
32.7 IPS |
