Generic
Geekbench AI Score
33762
Single Precision Score
38260
Half Precision Score
26847
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | FatShibaInu |
| Upload Date | September 21 2024 10:28 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7900 XTX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Generic |
| Motherboard | ASRock B550 Phantom Gaming-ITX/ax |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14197
2.64 KIPS |
|
|
Image Classification (HP)
|
100% |
15497
2.88 KIPS |
|
|
Image Classification (Q)
|
100% |
11678
2.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21322
345.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
19488
315.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
19177
311.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
278836
325.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
388819
453.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
247633
290.2 IPS |
|
|
Object Detection (SP)
|
100% |
16835
1.34 KIPS |
|
|
Object Detection (HP)
|
99% |
17867
1.42 KIPS |
|
|
Object Detection (Q)
|
89% |
14378
1.15 KIPS |
|
|
Face Detection (SP)
|
100% |
41143
488.9 IPS |
|
|
Face Detection (HP)
|
100% |
44539
529.2 IPS |
|
|
Face Detection (Q)
|
97% |
35598
424.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
77206
594.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
92769
714.7 IPS |
|
|
Depth Estimation (Q)
|
76% |
63059
508.4 IPS |
|
|
Style Transfer (SP)
|
100% |
451951
581.0 IPS |
|
|
Style Transfer (HP)
|
100% |
635237
816.6 IPS |
|
|
Style Transfer (Q)
|
98% |
397061
512.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
48335
1.78 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
56845
2.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38945
1.44 KIPS |
|
|
Text Classification (SP)
|
100% |
4353
5.81 KIPS |
|
|
Text Classification (HP)
|
100% |
4359
5.82 KIPS |
|
|
Text Classification (Q)
|
97% |
2830
3.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
4484
77.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4926
84.8 IPS |
|
|
Machine Translation (Q)
|
60% |
2484
55.4 IPS |
