Micro-Star International Co., Ltd. MS-7D46
Geekbench AI Score
18789
Single Precision Score
33638
Half Precision Score
14526
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 17 2025 10:46 AM |
| 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-7D46 |
| Motherboard | Micro-Star International Co., Ltd. PRO H610M-G WIFI (MS-7D46) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7781
1.45 KIPS |
|
|
Image Classification (HP)
|
100% |
13927
2.59 KIPS |
|
|
Image Classification (Q)
|
99% |
7028
1.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12720
206.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
18320
297.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
11729
190.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
97892
114.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
294753
343.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
78893
92.4 IPS |
|
|
Object Detection (SP)
|
100% |
9844
780.8 IPS |
|
|
Object Detection (HP)
|
100% |
15924
1.26 KIPS |
|
|
Object Detection (Q)
|
83% |
8700
702.9 IPS |
|
|
Face Detection (SP)
|
100% |
23580
280.2 IPS |
|
|
Face Detection (HP)
|
100% |
37164
441.6 IPS |
|
|
Face Detection (Q)
|
97% |
20645
246.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
45177
348.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
98018
755.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
37451
299.4 IPS |
|
|
Style Transfer (SP)
|
100% |
145562
187.1 IPS |
|
|
Style Transfer (HP)
|
100% |
493353
634.2 IPS |
|
|
Style Transfer (Q)
|
98% |
124848
161.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27730
1.02 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
52538
1.94 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21255
787.0 IPS |
|
|
Text Classification (SP)
|
100% |
3294
4.40 KIPS |
|
|
Text Classification (HP)
|
100% |
3910
5.22 KIPS |
|
|
Text Classification (Q)
|
97% |
2120
2.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
4060
69.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4196
72.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1700
31.9 IPS |
