N/A
Geekbench AI Score
4939
Single Precision Score
5195
Half Precision Score
13144
Quantized Score
Geekbench AI 1.0.0 for Linux AVX2
Result Information
| User | aeonsim |
| Upload Date | August 24 2024 07:33 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 7900 12-Core Processor |
| System Information | |
|---|---|
| Operating System | Ubuntu 22.04.3 LTS |
| Model | N/A |
| Motherboard | N/A |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7900 |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.69 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 53.94 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3247
603.8 IPS |
|
|
Image Classification (HP)
|
100% |
3064
569.9 IPS |
|
|
Image Classification (Q)
|
100% |
8645
1.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3124
50.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3143
50.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
5403
87.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7263
8.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
7414
8.65 IPS |
|
|
Pose Estimation (Q)
|
98% |
27385
32.1 IPS |
|
|
Object Detection (SP)
|
100% |
2930
232.4 IPS |
|
|
Object Detection (HP)
|
100% |
2909
230.7 IPS |
|
|
Object Detection (Q)
|
88% |
8818
706.8 IPS |
|
|
Face Detection (SP)
|
100% |
9222
109.6 IPS |
|
|
Face Detection (HP)
|
100% |
9814
116.6 IPS |
|
|
Face Detection (Q)
|
100% |
26014
309.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7993
61.6 IPS |
|
|
Depth Estimation (HP)
|
100% |
7895
60.8 IPS |
|
|
Depth Estimation (Q)
|
80% |
24854
197.0 IPS |
|
|
Style Transfer (SP)
|
100% |
20196
26.0 IPS |
|
|
Style Transfer (HP)
|
100% |
20632
26.5 IPS |
|
|
Style Transfer (Q)
|
98% |
72148
93.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3763
139.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3801
140.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12860
476.3 IPS |
|
|
Text Classification (SP)
|
100% |
2749
3.67 KIPS |
|
|
Text Classification (HP)
|
100% |
2763
3.69 KIPS |
|
|
Text Classification (Q)
|
92% |
4562
6.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
2603
44.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4106
70.7 IPS |
|
|
Machine Translation (Q)
|
85% |
4987
87.2 IPS |
