N/A
Geekbench AI Score
2914
Single Precision Score
2704
Half Precision Score
1692
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| Upload Date | July 05 2025 12:02 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 7 7800X3D |
| System Information | |
|---|---|
| Operating System | Ubuntu 22.04.5 LTS |
| Model | N/A |
| Motherboard | N/A |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1278
237.7 IPS |
|
|
Image Classification (HP)
|
100% |
1361
253.0 IPS |
|
|
Image Classification (Q)
|
99% |
877
163.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2482
40.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1689
27.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1167
19.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3760
4.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
3573
4.17 IPS |
|
|
Pose Estimation (Q)
|
96% |
3670
4.30 IPS |
|
|
Object Detection (SP)
|
100% |
1923
152.5 IPS |
|
|
Object Detection (HP)
|
100% |
1427
113.2 IPS |
|
|
Object Detection (Q)
|
85% |
989
79.6 IPS |
|
|
Face Detection (SP)
|
100% |
4110
48.8 IPS |
|
|
Face Detection (HP)
|
100% |
4403
52.3 IPS |
|
|
Face Detection (Q)
|
97% |
2945
35.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3951
30.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4253
32.8 IPS |
|
|
Depth Estimation (Q)
|
63% |
2381
22.3 IPS |
|
|
Style Transfer (SP)
|
100% |
4125
5.30 IPS |
|
|
Style Transfer (HP)
|
100% |
4149
5.33 IPS |
|
|
Style Transfer (Q)
|
98% |
7020
9.05 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2429
89.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2234
82.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1956
72.5 IPS |
|
|
Text Classification (SP)
|
100% |
2704
3.61 KIPS |
|
|
Text Classification (HP)
|
100% |
2710
3.62 KIPS |
|
|
Text Classification (Q)
|
92% |
673
904.1 IPS |
|
|
Machine Translation (SP)
|
100% |
4386
75.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3797
65.4 IPS |
|
|
Machine Translation (Q)
|
58% |
801
18.8 IPS |
