Micro-Star International Co., Ltd. MS-7D99
Geekbench AI Score
16685
Single Precision Score
27980
Half Precision Score
13129
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | June 01 2025 08:46 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-7D99 |
| Motherboard | Micro-Star International Co., Ltd. PRO B760M-A WIFI (MS-7D99) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14600K |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7172
1.33 KIPS |
|
|
Image Classification (HP)
|
99% |
12407
2.31 KIPS |
|
|
Image Classification (Q)
|
99% |
6112
1.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10846
175.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
14199
230.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
9933
161.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
79927
93.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
225126
262.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
72409
84.8 IPS |
|
|
Object Detection (SP)
|
100% |
8488
673.2 IPS |
|
|
Object Detection (HP)
|
100% |
14729
1.17 KIPS |
|
|
Object Detection (Q)
|
84% |
7464
602.0 IPS |
|
|
Face Detection (SP)
|
100% |
19139
227.4 IPS |
|
|
Face Detection (HP)
|
100% |
29997
356.4 IPS |
|
|
Face Detection (Q)
|
97% |
17136
204.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
37754
290.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
77943
600.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
32207
257.7 IPS |
|
|
Style Transfer (SP)
|
100% |
136485
175.5 IPS |
|
|
Style Transfer (HP)
|
100% |
329782
423.9 IPS |
|
|
Style Transfer (Q)
|
98% |
120389
155.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28270
1.04 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
46532
1.72 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21083
780.7 IPS |
|
|
Text Classification (SP)
|
100% |
3413
4.56 KIPS |
|
|
Text Classification (HP)
|
99% |
3994
5.33 KIPS |
|
|
Text Classification (Q)
|
97% |
2012
2.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
3330
57.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3514
60.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1646
30.9 IPS |
