System manufacturer System Product Name
Geekbench AI Score
27318
Single Precision Score
29509
Half Precision Score
20044
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 17 2024 08:47 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6900 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING X570-PLUS (WI-FI) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11329
2.11 KIPS |
|
|
Image Classification (HP)
|
100% |
10815
2.01 KIPS |
|
|
Image Classification (Q)
|
100% |
8827
1.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17031
276.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
14260
231.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
14260
231.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
197756
230.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
291698
340.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
163228
191.2 IPS |
|
|
Object Detection (SP)
|
100% |
11466
909.5 IPS |
|
|
Object Detection (HP)
|
100% |
11446
907.9 IPS |
|
|
Object Detection (Q)
|
89% |
9210
737.6 IPS |
|
|
Face Detection (SP)
|
100% |
31796
377.8 IPS |
|
|
Face Detection (HP)
|
100% |
34336
408.0 IPS |
|
|
Face Detection (Q)
|
97% |
24524
292.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
67451
519.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
73106
563.2 IPS |
|
|
Depth Estimation (Q)
|
76% |
48559
391.5 IPS |
|
|
Style Transfer (SP)
|
100% |
339448
436.4 IPS |
|
|
Style Transfer (HP)
|
100% |
446971
574.6 IPS |
|
|
Style Transfer (Q)
|
98% |
272364
351.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
40683
1.50 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
46932
1.73 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29525
1.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3861
5.15 KIPS |
|
|
Text Classification (HP)
|
100% |
3941
5.26 KIPS |
|
|
Text Classification (Q)
|
97% |
2506
3.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
4628
79.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4686
80.7 IPS |
|
|
Machine Translation (Q)
|
60% |
2306
51.4 IPS |
