System manufacturer System Product Name
Geekbench AI Score
3514
Single Precision Score
3476
Half Precision Score
2642
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | fearlipe |
| Upload Date | December 19 2024 03:34 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1050 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B450M-A |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 3600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
745
138.5 IPS |
|
|
Image Classification (HP)
|
100% |
1428
265.6 IPS |
|
|
Image Classification (Q)
|
99% |
693
129.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2236
36.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1913
31.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1829
29.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
18161
21.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
10009
11.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
15360
18.0 IPS |
|
|
Object Detection (SP)
|
100% |
1039
82.4 IPS |
|
|
Object Detection (HP)
|
100% |
1701
134.9 IPS |
|
|
Object Detection (Q)
|
83% |
947
76.5 IPS |
|
|
Face Detection (SP)
|
100% |
2076
24.7 IPS |
|
|
Face Detection (HP)
|
100% |
3115
37.0 IPS |
|
|
Face Detection (Q)
|
97% |
1853
22.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6923
53.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
6228
48.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
5588
44.6 IPS |
|
|
Style Transfer (SP)
|
100% |
31043
39.9 IPS |
|
|
Style Transfer (HP)
|
100% |
18591
23.9 IPS |
|
|
Style Transfer (Q)
|
98% |
25180
32.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6873
253.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4961
183.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4580
169.6 IPS |
|
|
Text Classification (SP)
|
100% |
1297
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
1397
1.86 KIPS |
|
|
Text Classification (Q)
|
97% |
767
1.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
2301
39.6 IPS |
|
|
Machine Translation (HP)
|
96% |
2220
38.4 IPS |
|
|
Machine Translation (Q)
|
70% |
984
18.5 IPS |
