Default string Default string
Geekbench AI Score
905
Single Precision Score
913
Half Precision Score
871
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| Upload Date | November 17 2025 03:05 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Eng Sample: 100-000000098-40_39/27_Y |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.3 LTS |
| Model | Default string Default string |
| Motherboard | Default string Default string |
| CPU Information | |
|---|---|
| Name | AMD Eng Sample: 100-000000098-40_39/27_Y |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 96 Stepping 0 |
| Base Frequency | 2.75 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.04 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
797
148.2 IPS |
|
|
Image Classification (HP)
|
100% |
797
148.1 IPS |
|
|
Image Classification (Q)
|
99% |
597
111.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
831
13.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
839
13.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
685
11.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1146
1.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
1152
1.34 IPS |
|
|
Pose Estimation (Q)
|
96% |
1599
1.87 IPS |
|
|
Object Detection (SP)
|
100% |
664
52.7 IPS |
|
|
Object Detection (HP)
|
100% |
679
53.9 IPS |
|
|
Object Detection (Q)
|
85% |
549
44.2 IPS |
|
|
Face Detection (SP)
|
100% |
954
11.3 IPS |
|
|
Face Detection (HP)
|
100% |
953
11.3 IPS |
|
|
Face Detection (Q)
|
97% |
1395
16.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
982
7.57 IPS |
|
|
Depth Estimation (HP)
|
99% |
985
7.59 IPS |
|
|
Depth Estimation (Q)
|
63% |
1135
10.6 IPS |
|
|
Style Transfer (SP)
|
100% |
1293
1.66 IPS |
|
|
Style Transfer (HP)
|
100% |
1293
1.66 IPS |
|
|
Style Transfer (Q)
|
98% |
2812
3.63 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
653
24.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
655
24.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
918
34.0 IPS |
|
|
Text Classification (SP)
|
100% |
974
1.30 KIPS |
|
|
Text Classification (HP)
|
100% |
960
1.28 KIPS |
|
|
Text Classification (Q)
|
92% |
473
634.8 IPS |
|
|
Machine Translation (SP)
|
100% |
952
16.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1011
17.4 IPS |
|
|
Machine Translation (Q)
|
58% |
365
8.57 IPS |
