Micro-Star International Co., Ltd. MS-7D99
Geekbench AI Score
17949
Single Precision Score
31748
Half Precision Score
13919
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | September 03 2025 10:19 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-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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7958
1.48 KIPS |
|
|
Image Classification (HP)
|
100% |
14319
2.66 KIPS |
|
|
Image Classification (Q)
|
99% |
7048
1.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10864
176.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
14499
235.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
10035
163.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
95373
111.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
279572
326.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
77570
90.9 IPS |
|
|
Object Detection (SP)
|
100% |
9767
774.7 IPS |
|
|
Object Detection (HP)
|
100% |
15375
1.22 KIPS |
|
|
Object Detection (Q)
|
83% |
8330
673.0 IPS |
|
|
Face Detection (SP)
|
100% |
21853
259.7 IPS |
|
|
Face Detection (HP)
|
100% |
32533
386.6 IPS |
|
|
Face Detection (Q)
|
97% |
19573
233.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
44873
345.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
93852
723.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
35328
282.5 IPS |
|
|
Style Transfer (SP)
|
100% |
140004
180.0 IPS |
|
|
Style Transfer (HP)
|
100% |
480184
617.3 IPS |
|
|
Style Transfer (Q)
|
98% |
120391
155.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27414
1.01 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
52516
1.94 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20370
754.3 IPS |
|
|
Text Classification (SP)
|
100% |
3477
4.64 KIPS |
|
|
Text Classification (HP)
|
100% |
4277
5.71 KIPS |
|
|
Text Classification (Q)
|
97% |
2164
2.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
3294
56.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3541
61.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1628
30.5 IPS |
