Micro-Star International Co., Ltd. MS-7D48
Geekbench AI Score
19855
Single Precision Score
32098
Half Precision Score
15550
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Cifra45 |
| Upload Date | December 14 2024 11:39 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Ti |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D48 |
| Motherboard | Micro-Star International Co., Ltd. PRO B760M-E (MS-7D48) |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13400F |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| 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% |
8101
1.51 KIPS |
|
|
Image Classification (HP)
|
99% |
13592
2.54 KIPS |
|
|
Image Classification (Q)
|
99% |
7468
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12631
204.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
15845
256.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
11636
189.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
111128
129.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
332805
388.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
95725
112.2 IPS |
|
|
Object Detection (SP)
|
100% |
9973
791.1 IPS |
|
|
Object Detection (HP)
|
100% |
15794
1.25 KIPS |
|
|
Object Detection (Q)
|
85% |
8738
703.4 IPS |
|
|
Face Detection (SP)
|
100% |
24165
287.1 IPS |
|
|
Face Detection (HP)
|
100% |
35526
422.1 IPS |
|
|
Face Detection (Q)
|
97% |
21400
255.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
47188
363.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
88248
679.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
37548
300.7 IPS |
|
|
Style Transfer (SP)
|
100% |
190640
245.1 IPS |
|
|
Style Transfer (HP)
|
100% |
458880
589.9 IPS |
|
|
Style Transfer (Q)
|
98% |
173431
223.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
31947
1.18 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
46903
1.73 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
23020
852.4 IPS |
|
|
Text Classification (SP)
|
100% |
3500
4.67 KIPS |
|
|
Text Classification (HP)
|
99% |
4122
5.50 KIPS |
|
|
Text Classification (Q)
|
97% |
2076
2.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
3455
59.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3688
63.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1708
32.0 IPS |
