NVIDIA GeForce RTX 3050 6GB ASUS System Product Name
Geekbench AI Score
9003
Single Precision Score
16668
Half Precision Score
6158
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | MemoryzoneBySieuToc |
| Upload Date | September 05 2024 04:56 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3050 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B660M-PLUS WIFI D4 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i3-13100F |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 5 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3704
688.8 IPS |
|
|
Image Classification (HP)
|
99% |
7152
1.33 KIPS |
|
|
Image Classification (Q)
|
100% |
3015
560.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
5706
92.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9204
149.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4730
76.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
37716
44.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
125847
146.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
31981
37.5 IPS |
|
|
Object Detection (SP)
|
100% |
4307
341.6 IPS |
|
|
Object Detection (HP)
|
100% |
8852
702.1 IPS |
|
|
Object Detection (Q)
|
89% |
3511
281.1 IPS |
|
|
Face Detection (SP)
|
100% |
8770
104.2 IPS |
|
|
Face Detection (HP)
|
100% |
14493
172.2 IPS |
|
|
Face Detection (Q)
|
97% |
6686
79.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
19791
152.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
40528
312.2 IPS |
|
|
Depth Estimation (Q)
|
71% |
14467
120.2 IPS |
|
|
Style Transfer (SP)
|
100% |
66216
85.1 IPS |
|
|
Style Transfer (HP)
|
100% |
179527
230.8 IPS |
|
|
Style Transfer (Q)
|
98% |
54107
69.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13729
506.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25861
954.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8456
313.1 IPS |
|
|
Text Classification (SP)
|
100% |
2420
3.23 KIPS |
|
|
Text Classification (HP)
|
99% |
3050
4.07 KIPS |
|
|
Text Classification (Q)
|
97% |
1116
1.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
2670
46.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2714
46.7 IPS |
|
|
Machine Translation (Q)
|
60% |
992
22.1 IPS |
