Micro-Star International Co., Ltd. MS-7D46
Geekbench AI Score
17005
Single Precision Score
27994
Half Precision Score
13360
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | May 19 2025 06:02 AM |
| Views | 5 |
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-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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7143
1.33 KIPS |
|
|
Image Classification (HP)
|
99% |
12442
2.32 KIPS |
|
|
Image Classification (Q)
|
99% |
6210
1.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10780
174.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
13903
225.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
9976
162.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
83137
97.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
237176
276.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
72753
85.2 IPS |
|
|
Object Detection (SP)
|
100% |
8506
674.7 IPS |
|
|
Object Detection (HP)
|
100% |
14390
1.14 KIPS |
|
|
Object Detection (Q)
|
84% |
7425
598.9 IPS |
|
|
Face Detection (SP)
|
100% |
19669
233.7 IPS |
|
|
Face Detection (HP)
|
100% |
30209
358.9 IPS |
|
|
Face Detection (Q)
|
97% |
17275
206.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
42676
328.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
79069
609.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
34404
275.2 IPS |
|
|
Style Transfer (SP)
|
100% |
140948
181.2 IPS |
|
|
Style Transfer (HP)
|
100% |
341318
438.8 IPS |
|
|
Style Transfer (Q)
|
98% |
121917
157.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28525
1.05 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
46540
1.72 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21732
804.7 IPS |
|
|
Text Classification (SP)
|
100% |
3305
4.41 KIPS |
|
|
Text Classification (HP)
|
99% |
3762
5.02 KIPS |
|
|
Text Classification (Q)
|
97% |
2014
2.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
3330
57.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3508
60.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1708
32.0 IPS |
