System manufacturer System Product Name
Geekbench AI Score
847
Single Precision Score
865
Half Precision Score
709
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | aeonsim |
| Upload Date | March 27 2025 07:45 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 7 1700X |
| System Information | |
|---|---|
| Operating System | Ubuntu 22.04.5 LTS |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B350M-A |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 1700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 1 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.52 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
610
113.4 IPS |
|
|
Image Classification (HP)
|
100% |
651
121.0 IPS |
|
|
Image Classification (Q)
|
99% |
491
91.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
835
13.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
945
15.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
586
9.52 IPS |
|
|
Pose Estimation (SP)
|
100% |
1144
1.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
1147
1.34 IPS |
|
|
Pose Estimation (Q)
|
96% |
1380
1.62 IPS |
|
|
Object Detection (SP)
|
100% |
553
43.9 IPS |
|
|
Object Detection (HP)
|
100% |
526
41.7 IPS |
|
|
Object Detection (Q)
|
85% |
435
35.0 IPS |
|
|
Face Detection (SP)
|
100% |
1117
13.3 IPS |
|
|
Face Detection (HP)
|
100% |
1128
13.4 IPS |
|
|
Face Detection (Q)
|
97% |
1114
13.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1065
8.20 IPS |
|
|
Depth Estimation (HP)
|
99% |
1023
7.88 IPS |
|
|
Depth Estimation (Q)
|
63% |
911
8.54 IPS |
|
|
Style Transfer (SP)
|
100% |
1479
1.90 IPS |
|
|
Style Transfer (HP)
|
100% |
1480
1.90 IPS |
|
|
Style Transfer (Q)
|
98% |
2431
3.14 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
563
20.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
654
24.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
716
26.5 IPS |
|
|
Text Classification (SP)
|
100% |
664
886.5 IPS |
|
|
Text Classification (HP)
|
100% |
616
821.8 IPS |
|
|
Text Classification (Q)
|
92% |
326
438.6 IPS |
|
|
Machine Translation (SP)
|
100% |
903
15.6 IPS |
|
|
Machine Translation (HP)
|
100% |
925
15.9 IPS |
|
|
Machine Translation (Q)
|
58% |
327
7.67 IPS |
