System manufacturer System Product Name
Geekbench AI Score
2118
Single Precision Score
2089
Half Precision Score
1786
Quantized Score
Geekbench AI 1.6.0 for Linux AVX2
Result Information
| User | ruberlux |
| Upload Date | February 05 2026 07:54 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X |
| System Information | |
|---|---|
| Operating System | Arch Linux |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME X570-PRO |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 5.09 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.69 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1620
301.3 IPS |
|
|
Image Classification (HP)
|
100% |
1564
290.8 IPS |
|
|
Image Classification (Q)
|
99% |
1223
228.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1732
28.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1586
25.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1266
20.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2794
3.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
2771
3.23 IPS |
|
|
Pose Estimation (Q)
|
96% |
4241
4.97 IPS |
|
|
Object Detection (SP)
|
100% |
1717
136.2 IPS |
|
|
Object Detection (HP)
|
100% |
1709
135.6 IPS |
|
|
Object Detection (Q)
|
85% |
1454
117.1 IPS |
|
|
Face Detection (SP)
|
100% |
2703
32.1 IPS |
|
|
Face Detection (HP)
|
100% |
2727
32.4 IPS |
|
|
Face Detection (Q)
|
97% |
2791
33.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2370
18.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2404
18.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
2204
20.7 IPS |
|
|
Style Transfer (SP)
|
100% |
2958
3.80 IPS |
|
|
Style Transfer (HP)
|
100% |
3020
3.88 IPS |
|
|
Style Transfer (Q)
|
98% |
6556
8.45 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1677
61.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1666
61.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1836
68.0 IPS |
|
|
Text Classification (SP)
|
100% |
1428
1.91 KIPS |
|
|
Text Classification (HP)
|
100% |
1483
1.98 KIPS |
|
|
Text Classification (Q)
|
92% |
736
988.1 IPS |
|
|
Machine Translation (SP)
|
100% |
2988
51.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2763
47.6 IPS |
|
|
Machine Translation (Q)
|
58% |
635
14.9 IPS |
