Generic
Geekbench AI Score
17219
Single Precision Score
28466
Half Precision Score
13381
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | vassourabfc |
| Upload Date | October 19 2024 07:42 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock B550 Phantom Gaming-ITX/ax |
| Power Plan | Desempenho Mximo |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900 |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6868
1.28 KIPS |
|
|
Image Classification (HP)
|
99% |
11730
2.19 KIPS |
|
|
Image Classification (Q)
|
100% |
6078
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11727
190.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
15807
256.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
10797
175.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
92054
107.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
241075
281.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
79071
92.6 IPS |
|
|
Object Detection (SP)
|
100% |
8649
686.0 IPS |
|
|
Object Detection (HP)
|
100% |
14420
1.14 KIPS |
|
|
Object Detection (Q)
|
89% |
7672
614.1 IPS |
|
|
Face Detection (SP)
|
100% |
18861
224.1 IPS |
|
|
Face Detection (HP)
|
100% |
29089
345.6 IPS |
|
|
Face Detection (Q)
|
97% |
15585
185.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
39657
305.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
79161
609.9 IPS |
|
|
Depth Estimation (Q)
|
70% |
31499
264.3 IPS |
|
|
Style Transfer (SP)
|
100% |
143427
184.4 IPS |
|
|
Style Transfer (HP)
|
100% |
362270
465.7 IPS |
|
|
Style Transfer (Q)
|
98% |
131703
169.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29673
1.10 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
47003
1.74 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21656
801.9 IPS |
|
|
Text Classification (SP)
|
100% |
3072
4.10 KIPS |
|
|
Text Classification (HP)
|
99% |
3704
4.94 KIPS |
|
|
Text Classification (Q)
|
97% |
2047
2.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
3655
63.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3733
64.3 IPS |
|
|
Machine Translation (Q)
|
60% |
1613
36.0 IPS |
