B550 Extreme4
Geekbench AI Score
24007
Single Precision Score
34942
Half Precision Score
14603
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | wvbigdave |
| Upload Date | January 21 2025 05:25 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3080 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | B550 Extreme4 |
| Motherboard | ASRock B550 Extreme4 |
| Power Plan | ChrisTitus - Ultimate Power Plan |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9260
1.72 KIPS |
|
|
Image Classification (HP)
|
99% |
12716
2.37 KIPS |
|
|
Image Classification (Q)
|
100% |
6293
1.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15636
253.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
21172
343.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
11339
184.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
180633
210.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
347053
405.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
132754
155.5 IPS |
|
|
Object Detection (SP)
|
100% |
11921
945.6 IPS |
|
|
Object Detection (HP)
|
100% |
16474
1.31 KIPS |
|
|
Object Detection (Q)
|
85% |
8040
646.8 IPS |
|
|
Face Detection (SP)
|
100% |
32341
384.3 IPS |
|
|
Face Detection (HP)
|
100% |
44246
525.7 IPS |
|
|
Face Detection (Q)
|
97% |
21293
253.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
57695
444.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
101123
779.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
34798
278.7 IPS |
|
|
Style Transfer (SP)
|
100% |
269605
346.6 IPS |
|
|
Style Transfer (HP)
|
100% |
606885
780.2 IPS |
|
|
Style Transfer (Q)
|
98% |
190710
245.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
36762
1.36 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
49080
1.81 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20633
764.0 IPS |
|
|
Text Classification (SP)
|
100% |
2657
3.55 KIPS |
|
|
Text Classification (HP)
|
99% |
3270
4.36 KIPS |
|
|
Text Classification (Q)
|
97% |
1360
1.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
4151
71.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4045
69.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1461
27.4 IPS |
