Micro-Star International Co., Ltd. MS-7D90
Geekbench AI Score
14484
Single Precision Score
23473
Half Precision Score
11077
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 20 2025 07:33 AM |
| Views | 2 |
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% |
5719
1.06 KIPS |
|
|
Image Classification (HP)
|
99% |
9745
1.82 KIPS |
|
|
Image Classification (Q)
|
99% |
5413
1.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11099
179.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
14206
230.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
9560
155.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
80295
93.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
227583
265.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
67221
78.8 IPS |
|
|
Object Detection (SP)
|
100% |
8342
661.7 IPS |
|
|
Object Detection (HP)
|
100% |
12233
970.3 IPS |
|
|
Object Detection (Q)
|
84% |
6056
488.5 IPS |
|
|
Face Detection (SP)
|
100% |
16244
193.0 IPS |
|
|
Face Detection (HP)
|
100% |
20587
244.6 IPS |
|
|
Face Detection (Q)
|
97% |
13645
162.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
40422
311.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
69560
535.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
31733
253.9 IPS |
|
|
Style Transfer (SP)
|
100% |
107212
137.8 IPS |
|
|
Style Transfer (HP)
|
100% |
262071
336.9 IPS |
|
|
Style Transfer (Q)
|
98% |
107822
139.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24148
891.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39369
1.45 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16599
614.6 IPS |
|
|
Text Classification (SP)
|
100% |
2566
3.43 KIPS |
|
|
Text Classification (HP)
|
99% |
3063
4.09 KIPS |
|
|
Text Classification (Q)
|
97% |
1406
1.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
2192
37.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2912
50.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1212
22.7 IPS |
