Generic
Geekbench AI Score
21107
Single Precision Score
23492
Half Precision Score
16997
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | NuttyLemonz |
| Upload Date | August 24 2024 10:43 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7800 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock X470 Taichi |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 3700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8948
1.66 KIPS |
|
|
Image Classification (HP)
|
100% |
8661
1.61 KIPS |
|
|
Image Classification (Q)
|
100% |
7766
1.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10331
167.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9262
150.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
9567
155.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
168626
196.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
241295
281.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
153147
179.4 IPS |
|
|
Object Detection (SP)
|
100% |
9463
750.6 IPS |
|
|
Object Detection (HP)
|
99% |
10459
829.6 IPS |
|
|
Object Detection (Q)
|
89% |
8828
707.0 IPS |
|
|
Face Detection (SP)
|
100% |
23511
279.4 IPS |
|
|
Face Detection (HP)
|
100% |
25779
306.3 IPS |
|
|
Face Detection (Q)
|
97% |
20851
248.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
60384
465.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
65462
504.3 IPS |
|
|
Depth Estimation (Q)
|
73% |
44878
367.7 IPS |
|
|
Style Transfer (SP)
|
100% |
299099
384.5 IPS |
|
|
Style Transfer (HP)
|
100% |
412506
530.3 IPS |
|
|
Style Transfer (Q)
|
98% |
256714
331.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
33097
1.22 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
43343
1.60 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26366
976.3 IPS |
|
|
Text Classification (SP)
|
100% |
2985
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
2909
3.88 KIPS |
|
|
Text Classification (Q)
|
97% |
2043
2.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
2837
48.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2882
49.6 IPS |
|
|
Machine Translation (Q)
|
60% |
1549
34.5 IPS |
