Micro-Star International Co., Ltd. MS-7D99
Geekbench AI Score
17753
Single Precision Score
31233
Half Precision Score
13827
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | July 12 2025 03:49 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-7D99 |
| Motherboard | Micro-Star International Co., Ltd. PRO B760M-A WIFI (MS-7D99) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700F |
| Topology | 1 Processor, 12 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7045
1.31 KIPS |
|
|
Image Classification (HP)
|
100% |
13655
2.54 KIPS |
|
|
Image Classification (Q)
|
99% |
6385
1.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11461
185.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
15639
253.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
10613
172.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
92566
108.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
280479
327.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
80974
94.8 IPS |
|
|
Object Detection (SP)
|
100% |
9561
758.3 IPS |
|
|
Object Detection (HP)
|
100% |
14820
1.18 KIPS |
|
|
Object Detection (Q)
|
83% |
8203
662.7 IPS |
|
|
Face Detection (SP)
|
100% |
21884
260.0 IPS |
|
|
Face Detection (HP)
|
100% |
33640
399.7 IPS |
|
|
Face Detection (Q)
|
97% |
19610
233.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
46368
357.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
89808
691.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
37294
298.2 IPS |
|
|
Style Transfer (SP)
|
100% |
148434
190.8 IPS |
|
|
Style Transfer (HP)
|
100% |
469369
603.4 IPS |
|
|
Style Transfer (Q)
|
98% |
122530
158.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26025
961.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47877
1.77 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20621
763.6 IPS |
|
|
Text Classification (SP)
|
100% |
3187
4.25 KIPS |
|
|
Text Classification (HP)
|
100% |
4037
5.39 KIPS |
|
|
Text Classification (Q)
|
97% |
1968
2.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
3485
60.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3632
62.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1561
29.3 IPS |
