PICHAU
Geekbench AI Score
20600
Single Precision Score
22763
Half Precision Score
16094
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | August 19 2024 10:36 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7700 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | PICHAU |
| Motherboard | Danuri B550M-PX |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9752
1.81 KIPS |
|
|
Image Classification (HP)
|
100% |
9310
1.73 KIPS |
|
|
Image Classification (Q)
|
100% |
7976
1.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11164
181.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
8825
143.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
9642
156.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
165682
193.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
233562
272.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
142067
166.5 IPS |
|
|
Object Detection (SP)
|
100% |
9412
746.5 IPS |
|
|
Object Detection (HP)
|
99% |
9919
786.8 IPS |
|
|
Object Detection (Q)
|
89% |
8207
657.2 IPS |
|
|
Face Detection (SP)
|
100% |
20382
242.2 IPS |
|
|
Face Detection (HP)
|
100% |
21540
255.9 IPS |
|
|
Face Detection (Q)
|
97% |
19525
232.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
58590
451.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
65085
501.4 IPS |
|
|
Depth Estimation (Q)
|
73% |
43792
358.8 IPS |
|
|
Style Transfer (SP)
|
100% |
286594
368.4 IPS |
|
|
Style Transfer (HP)
|
100% |
406470
522.5 IPS |
|
|
Style Transfer (Q)
|
98% |
235567
303.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
32369
1.20 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
45274
1.67 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24162
894.7 IPS |
|
|
Text Classification (SP)
|
100% |
2622
3.50 KIPS |
|
|
Text Classification (HP)
|
100% |
2632
3.51 KIPS |
|
|
Text Classification (Q)
|
97% |
1676
2.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
2791
48.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2890
49.8 IPS |
|
|
Machine Translation (Q)
|
60% |
1595
35.6 IPS |
