System manufacturer System Product Name
Geekbench AI Score
2319
Single Precision Score
2327
Half Precision Score
1814
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | TyphooN |
| Upload Date | November 21 2025 09:55 PM |
| Views | 11 |
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% |
1586
295.0 IPS |
|
|
Image Classification (HP)
|
100% |
1647
306.3 IPS |
|
|
Image Classification (Q)
|
99% |
1246
232.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2445
39.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2554
41.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1249
20.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3306
3.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
3296
3.85 IPS |
|
|
Pose Estimation (Q)
|
96% |
4413
5.17 IPS |
|
|
Object Detection (SP)
|
100% |
1700
134.8 IPS |
|
|
Object Detection (HP)
|
100% |
1715
136.1 IPS |
|
|
Object Detection (Q)
|
85% |
1472
118.5 IPS |
|
|
Face Detection (SP)
|
100% |
2891
34.4 IPS |
|
|
Face Detection (HP)
|
100% |
2686
31.9 IPS |
|
|
Face Detection (Q)
|
97% |
2829
33.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2577
19.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2568
19.8 IPS |
|
|
Depth Estimation (Q)
|
63% |
2215
20.8 IPS |
|
|
Style Transfer (SP)
|
100% |
3304
4.25 IPS |
|
|
Style Transfer (HP)
|
100% |
3337
4.29 IPS |
|
|
Style Transfer (Q)
|
98% |
6652
8.58 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1784
65.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1747
64.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1860
68.9 IPS |
|
|
Text Classification (SP)
|
100% |
1429
1.91 KIPS |
|
|
Text Classification (HP)
|
100% |
1527
2.04 KIPS |
|
|
Text Classification (Q)
|
92% |
753
1.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3293
56.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3190
54.9 IPS |
|
|
Machine Translation (Q)
|
58% |
657
15.4 IPS |
