System manufacturer System Product Name
Geekbench AI Score
2227
Single Precision Score
2283
Half Precision Score
1785
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| Upload Date | November 13 2025 01:14 AM |
| Views | 4 |
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. TUF GAMING X570-PLUS (WI-FI) |
| 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% |
1562
290.6 IPS |
|
|
Image Classification (HP)
|
100% |
1580
293.9 IPS |
|
|
Image Classification (Q)
|
99% |
1195
222.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2589
42.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2437
39.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1238
20.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3203
3.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
3251
3.79 IPS |
|
|
Pose Estimation (Q)
|
96% |
4254
4.98 IPS |
|
|
Object Detection (SP)
|
100% |
1739
137.9 IPS |
|
|
Object Detection (HP)
|
100% |
1727
137.0 IPS |
|
|
Object Detection (Q)
|
85% |
1487
119.7 IPS |
|
|
Face Detection (SP)
|
100% |
2824
33.6 IPS |
|
|
Face Detection (HP)
|
100% |
2622
31.2 IPS |
|
|
Face Detection (Q)
|
97% |
2836
33.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2525
19.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2572
19.8 IPS |
|
|
Depth Estimation (Q)
|
63% |
2198
20.6 IPS |
|
|
Style Transfer (SP)
|
100% |
3214
4.13 IPS |
|
|
Style Transfer (HP)
|
100% |
3227
4.15 IPS |
|
|
Style Transfer (Q)
|
98% |
6653
8.58 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1750
64.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1741
64.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1881
69.7 IPS |
|
|
Text Classification (SP)
|
100% |
1109
1.48 KIPS |
|
|
Text Classification (HP)
|
100% |
1548
2.07 KIPS |
|
|
Text Classification (Q)
|
92% |
708
950.5 IPS |
|
|
Machine Translation (SP)
|
100% |
3000
51.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3035
52.3 IPS |
|
|
Machine Translation (Q)
|
58% |
636
14.9 IPS |
