N/A
Geekbench AI Score
1369
Single Precision Score
1373
Half Precision Score
1714
Quantized Score
Geekbench AI 1.0.0 for Linux AVX2
Result Information
| User | davepl |
| Upload Date | August 16 2024 10:18 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen Threadripper PRO 7995WX 96-Cores |
| System Information | |
|---|---|
| Operating System | Ubuntu 22.04.3 LTS |
| Model | N/A |
| Motherboard | N/A |
| CPU Information | |
|---|---|
| Name | AMD Ryzen Threadripper PRO 7995WX 96-Cores |
| Topology | 1 Processor, 32 Cores, 64 Threads |
| Identifier | AuthenticAMD Family 25 Model 24 Stepping 1 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 251.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
922
171.5 IPS |
|
|
Image Classification (HP)
|
100% |
939
174.6 IPS |
|
|
Image Classification (Q)
|
99% |
1574
293.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1994
32.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2011
32.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1437
23.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2283
2.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
2287
2.67 IPS |
|
|
Pose Estimation (Q)
|
96% |
3817
4.47 IPS |
|
|
Object Detection (SP)
|
100% |
1093
86.7 IPS |
|
|
Object Detection (HP)
|
100% |
1108
87.9 IPS |
|
|
Object Detection (Q)
|
86% |
1898
152.6 IPS |
|
|
Face Detection (SP)
|
100% |
1237
14.7 IPS |
|
|
Face Detection (HP)
|
100% |
1233
14.6 IPS |
|
|
Face Detection (Q)
|
97% |
2315
27.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1180
9.09 IPS |
|
|
Depth Estimation (HP)
|
100% |
1171
9.02 IPS |
|
|
Depth Estimation (Q)
|
74% |
1973
16.0 IPS |
|
|
Style Transfer (SP)
|
100% |
2812
3.61 IPS |
|
|
Style Transfer (HP)
|
100% |
2955
3.80 IPS |
|
|
Style Transfer (Q)
|
98% |
5172
6.67 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
602
22.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
599
22.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1323
49.0 IPS |
|
|
Text Classification (SP)
|
100% |
811
1.08 KIPS |
|
|
Text Classification (HP)
|
100% |
802
1.07 KIPS |
|
|
Text Classification (Q)
|
92% |
627
841.6 IPS |
|
|
Machine Translation (SP)
|
100% |
2522
43.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2430
41.9 IPS |
|
|
Machine Translation (Q)
|
58% |
685
16.1 IPS |
