Micro-Star International Co., Ltd. MS-7D90
Geekbench AI Score
17946
Single Precision Score
31740
Half Precision Score
13905
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | June 18 2025 07:10 AM |
| Views | 3 |
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 GAMING 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% |
7654
1.42 KIPS |
|
|
Image Classification (HP)
|
100% |
13539
2.52 KIPS |
|
|
Image Classification (Q)
|
99% |
6845
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11444
185.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
15739
255.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
10461
170.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
89379
104.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
278730
325.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
77006
90.2 IPS |
|
|
Object Detection (SP)
|
100% |
9643
764.9 IPS |
|
|
Object Detection (HP)
|
100% |
15065
1.19 KIPS |
|
|
Object Detection (Q)
|
83% |
8370
676.3 IPS |
|
|
Face Detection (SP)
|
100% |
22063
262.2 IPS |
|
|
Face Detection (HP)
|
100% |
33991
403.9 IPS |
|
|
Face Detection (Q)
|
97% |
19627
234.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
45741
352.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
91227
702.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
36687
293.3 IPS |
|
|
Style Transfer (SP)
|
100% |
142735
183.5 IPS |
|
|
Style Transfer (HP)
|
100% |
474514
610.0 IPS |
|
|
Style Transfer (Q)
|
98% |
118064
152.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26465
977.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50484
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19991
740.3 IPS |
|
|
Text Classification (SP)
|
100% |
3362
4.49 KIPS |
|
|
Text Classification (HP)
|
100% |
4139
5.52 KIPS |
|
|
Text Classification (Q)
|
97% |
2061
2.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
3581
61.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3773
65.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1672
31.4 IPS |
