Micro-Star International Co., Ltd. MS-7D90
Geekbench AI Score
17346
Single Precision Score
30238
Half Precision Score
13488
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | July 12 2025 03:52 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 |
| 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 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% |
7009
1.30 KIPS |
|
|
Image Classification (HP)
|
100% |
13224
2.46 KIPS |
|
|
Image Classification (Q)
|
99% |
6275
1.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10619
172.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
14013
227.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
9635
156.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
91416
106.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
270110
315.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
76224
89.3 IPS |
|
|
Object Detection (SP)
|
100% |
9353
741.9 IPS |
|
|
Object Detection (HP)
|
100% |
14454
1.15 KIPS |
|
|
Object Detection (Q)
|
83% |
8136
657.3 IPS |
|
|
Face Detection (SP)
|
100% |
21267
252.7 IPS |
|
|
Face Detection (HP)
|
100% |
31796
377.8 IPS |
|
|
Face Detection (Q)
|
97% |
19225
229.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
44142
340.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
89694
691.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
35735
285.7 IPS |
|
|
Style Transfer (SP)
|
100% |
142649
183.4 IPS |
|
|
Style Transfer (HP)
|
100% |
467887
601.5 IPS |
|
|
Style Transfer (Q)
|
98% |
121746
157.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26298
971.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47468
1.75 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19775
732.3 IPS |
|
|
Text Classification (SP)
|
100% |
3400
4.54 KIPS |
|
|
Text Classification (HP)
|
100% |
4169
5.57 KIPS |
|
|
Text Classification (Q)
|
97% |
1996
2.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
3238
55.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3346
57.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1611
30.2 IPS |
