Micro-Star International Co., Ltd. MS-7D90
Geekbench AI Score
17601
Single Precision Score
30854
Half Precision Score
13626
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | July 13 2025 01:50 PM |
| Views | 4 |
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% |
7216
1.34 KIPS |
|
|
Image Classification (HP)
|
100% |
13509
2.51 KIPS |
|
|
Image Classification (Q)
|
99% |
6449
1.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11178
181.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
14622
237.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
10165
165.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
89521
104.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
282686
329.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
74531
87.3 IPS |
|
|
Object Detection (SP)
|
100% |
9680
767.8 IPS |
|
|
Object Detection (HP)
|
100% |
14911
1.18 KIPS |
|
|
Object Detection (Q)
|
83% |
8308
671.2 IPS |
|
|
Face Detection (SP)
|
100% |
22146
263.1 IPS |
|
|
Face Detection (HP)
|
100% |
33360
396.4 IPS |
|
|
Face Detection (Q)
|
97% |
19730
235.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
44296
341.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
90643
698.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
35890
286.9 IPS |
|
|
Style Transfer (SP)
|
100% |
141174
181.5 IPS |
|
|
Style Transfer (HP)
|
100% |
475021
610.6 IPS |
|
|
Style Transfer (Q)
|
98% |
118479
152.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26262
969.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46916
1.73 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19934
738.1 IPS |
|
|
Text Classification (SP)
|
100% |
3423
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4085
5.45 KIPS |
|
|
Text Classification (Q)
|
97% |
1984
2.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
3281
56.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3412
58.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1639
30.7 IPS |
