System manufacturer System Product Name
Geekbench AI Score
871
Single Precision Score
869
Half Precision Score
719
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| User | rayzinnz |
| Upload Date | November 09 2024 05:33 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen Threadripper 1920X |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.1 LTS |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG ZENITH EXTREME |
| CPU Information | |
|---|---|
| Name | AMD Ryzen Threadripper 1920X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 23 Model 1 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.17 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
544
101.2 IPS |
|
|
Image Classification (HP)
|
100% |
539
100.3 IPS |
|
|
Image Classification (Q)
|
99% |
407
75.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
887
14.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
895
14.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
576
9.37 IPS |
|
|
Pose Estimation (SP)
|
100% |
1300
1.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
1348
1.57 IPS |
|
|
Pose Estimation (Q)
|
96% |
1576
1.85 IPS |
|
|
Object Detection (SP)
|
100% |
608
48.3 IPS |
|
|
Object Detection (HP)
|
100% |
593
47.0 IPS |
|
|
Object Detection (Q)
|
85% |
476
38.3 IPS |
|
|
Face Detection (SP)
|
100% |
1078
12.8 IPS |
|
|
Face Detection (HP)
|
100% |
1092
13.0 IPS |
|
|
Face Detection (Q)
|
97% |
930
11.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1086
8.37 IPS |
|
|
Depth Estimation (HP)
|
99% |
1130
8.70 IPS |
|
|
Depth Estimation (Q)
|
63% |
962
9.02 IPS |
|
|
Style Transfer (SP)
|
100% |
1910
2.46 IPS |
|
|
Style Transfer (HP)
|
100% |
1901
2.44 IPS |
|
|
Style Transfer (Q)
|
98% |
3073
3.96 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
598
22.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
586
21.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
757
28.1 IPS |
|
|
Text Classification (SP)
|
100% |
517
689.7 IPS |
|
|
Text Classification (HP)
|
100% |
503
671.6 IPS |
|
|
Text Classification (Q)
|
92% |
311
418.4 IPS |
|
|
Machine Translation (SP)
|
100% |
956
16.5 IPS |
|
|
Machine Translation (HP)
|
100% |
926
15.9 IPS |
|
|
Machine Translation (Q)
|
58% |
328
7.69 IPS |
