Generic
Geekbench AI Score
16116
Single Precision Score
26240
Half Precision Score
10877
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 30 2024 05:06 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock B450 Pro4 |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 3600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6865
1.28 KIPS |
|
|
Image Classification (HP)
|
99% |
10488
1.96 KIPS |
|
|
Image Classification (Q)
|
100% |
4955
921.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
9961
161.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
13947
226.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
8092
131.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
90285
105.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
250685
292.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
73677
86.3 IPS |
|
|
Object Detection (SP)
|
100% |
8063
639.5 IPS |
|
|
Object Detection (HP)
|
100% |
13127
1.04 KIPS |
|
|
Object Detection (Q)
|
85% |
6111
492.0 IPS |
|
|
Face Detection (SP)
|
100% |
18925
224.9 IPS |
|
|
Face Detection (HP)
|
100% |
28472
338.3 IPS |
|
|
Face Detection (Q)
|
97% |
15134
180.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
39032
300.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
76213
587.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
26913
215.4 IPS |
|
|
Style Transfer (SP)
|
100% |
147415
189.5 IPS |
|
|
Style Transfer (HP)
|
100% |
358578
461.0 IPS |
|
|
Style Transfer (Q)
|
98% |
116955
150.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27493
1.02 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
36931
1.36 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16198
599.8 IPS |
|
|
Text Classification (SP)
|
100% |
2456
3.28 KIPS |
|
|
Text Classification (HP)
|
99% |
3463
4.62 KIPS |
|
|
Text Classification (Q)
|
97% |
1241
1.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
3230
55.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3231
55.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1342
25.2 IPS |
