System manufacturer System Product Name
Geekbench AI Score
20721
Single Precision Score
23095
Half Precision Score
15681
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | August 16 2024 07:24 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6800 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B350M-A |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8959
1.67 KIPS |
|
|
Image Classification (HP)
|
100% |
8916
1.66 KIPS |
|
|
Image Classification (Q)
|
100% |
7241
1.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13236
214.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
10854
175.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
11097
180.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
131660
153.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
202624
236.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
111492
130.6 IPS |
|
|
Object Detection (SP)
|
100% |
9113
722.9 IPS |
|
|
Object Detection (HP)
|
100% |
9455
750.0 IPS |
|
|
Object Detection (Q)
|
89% |
7758
621.3 IPS |
|
|
Face Detection (SP)
|
100% |
26326
312.8 IPS |
|
|
Face Detection (HP)
|
100% |
27740
329.6 IPS |
|
|
Face Detection (Q)
|
97% |
19984
238.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
52508
404.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
57811
447.1 IPS |
|
|
Depth Estimation (Q)
|
73% |
38837
317.1 IPS |
|
|
Style Transfer (SP)
|
100% |
256645
329.9 IPS |
|
|
Style Transfer (HP)
|
100% |
345424
444.0 IPS |
|
|
Style Transfer (Q)
|
98% |
207845
268.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34814
1.29 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
40538
1.50 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25167
931.9 IPS |
|
|
Text Classification (SP)
|
100% |
2179
2.91 KIPS |
|
|
Text Classification (HP)
|
100% |
2669
3.56 KIPS |
|
|
Text Classification (Q)
|
97% |
1610
2.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
3812
65.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3885
66.9 IPS |
|
|
Machine Translation (Q)
|
60% |
1980
44.2 IPS |
