N/A
Geekbench AI Score
2333
Single Precision Score
2363
Half Precision Score
1968
Quantized Score
Geekbench AI 1.6.0 for Linux AVX2
Result Information
| User | demomanca |
| Upload Date | February 07 2026 09:25 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 9 7950X3D |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.3 LTS |
| Model | N/A |
| Motherboard | N/A |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1358
252.5 IPS |
|
|
Image Classification (HP)
|
100% |
1414
262.9 IPS |
|
|
Image Classification (Q)
|
99% |
1205
224.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2524
40.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2548
41.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1353
22.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3911
4.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
3954
4.61 IPS |
|
|
Pose Estimation (Q)
|
96% |
5108
5.99 IPS |
|
|
Object Detection (SP)
|
100% |
1529
121.3 IPS |
|
|
Object Detection (HP)
|
100% |
1590
126.1 IPS |
|
|
Object Detection (Q)
|
85% |
1442
116.0 IPS |
|
|
Face Detection (SP)
|
100% |
2945
35.0 IPS |
|
|
Face Detection (HP)
|
100% |
2907
34.5 IPS |
|
|
Face Detection (Q)
|
97% |
2806
33.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2767
21.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2780
21.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
2479
23.2 IPS |
|
|
Style Transfer (SP)
|
100% |
4421
5.68 IPS |
|
|
Style Transfer (HP)
|
100% |
4439
5.71 IPS |
|
|
Style Transfer (Q)
|
98% |
8110
10.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1580
58.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1579
58.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2081
77.1 IPS |
|
|
Text Classification (SP)
|
100% |
1417
1.89 KIPS |
|
|
Text Classification (HP)
|
100% |
1470
1.96 KIPS |
|
|
Text Classification (Q)
|
92% |
783
1.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
2891
49.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2886
49.7 IPS |
|
|
Machine Translation (Q)
|
58% |
790
18.5 IPS |
