System manufacturer System Product Name
Geekbench AI Score
2230
Single Precision Score
2255
Half Precision Score
1815
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | TyphooN |
| Upload Date | November 10 2025 08:32 PM |
| Views | 3 |
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% |
1560
290.2 IPS |
|
|
Image Classification (HP)
|
100% |
1636
304.3 IPS |
|
|
Image Classification (Q)
|
99% |
1238
230.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2367
38.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2528
41.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1282
20.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3227
3.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
3208
3.74 IPS |
|
|
Pose Estimation (Q)
|
96% |
4501
5.27 IPS |
|
|
Object Detection (SP)
|
100% |
1688
133.9 IPS |
|
|
Object Detection (HP)
|
100% |
1680
133.2 IPS |
|
|
Object Detection (Q)
|
85% |
1499
120.7 IPS |
|
|
Face Detection (SP)
|
100% |
2663
31.6 IPS |
|
|
Face Detection (HP)
|
100% |
2648
31.5 IPS |
|
|
Face Detection (Q)
|
97% |
2836
33.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2528
19.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2564
19.8 IPS |
|
|
Depth Estimation (Q)
|
63% |
2214
20.8 IPS |
|
|
Style Transfer (SP)
|
100% |
3274
4.21 IPS |
|
|
Style Transfer (HP)
|
100% |
3265
4.20 IPS |
|
|
Style Transfer (Q)
|
98% |
6549
8.45 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1715
63.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1700
62.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1887
69.9 IPS |
|
|
Text Classification (SP)
|
100% |
1407
1.88 KIPS |
|
|
Text Classification (HP)
|
100% |
1373
1.83 KIPS |
|
|
Text Classification (Q)
|
92% |
714
959.5 IPS |
|
|
Machine Translation (SP)
|
100% |
2855
49.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2951
50.8 IPS |
|
|
Machine Translation (Q)
|
58% |
654
15.4 IPS |
