System manufacturer System Product Name
Geekbench AI Score
2255
Single Precision Score
2267
Half Precision Score
1808
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| Upload Date | November 11 2025 05:12 PM |
| Views | 1 |
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% |
1561
290.2 IPS |
|
|
Image Classification (HP)
|
100% |
1569
291.9 IPS |
|
|
Image Classification (Q)
|
99% |
1242
231.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2481
40.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2552
41.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1209
19.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3289
3.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
3309
3.86 IPS |
|
|
Pose Estimation (Q)
|
96% |
4408
5.17 IPS |
|
|
Object Detection (SP)
|
100% |
1701
134.9 IPS |
|
|
Object Detection (HP)
|
100% |
1715
136.0 IPS |
|
|
Object Detection (Q)
|
85% |
1457
117.3 IPS |
|
|
Face Detection (SP)
|
100% |
2766
32.9 IPS |
|
|
Face Detection (HP)
|
100% |
2720
32.3 IPS |
|
|
Face Detection (Q)
|
97% |
2857
34.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2580
19.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2586
19.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
2240
21.0 IPS |
|
|
Style Transfer (SP)
|
100% |
3326
4.28 IPS |
|
|
Style Transfer (HP)
|
100% |
3310
4.26 IPS |
|
|
Style Transfer (Q)
|
98% |
6711
8.65 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1763
65.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1745
64.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1886
69.9 IPS |
|
|
Text Classification (SP)
|
100% |
1307
1.74 KIPS |
|
|
Text Classification (HP)
|
100% |
1299
1.73 KIPS |
|
|
Text Classification (Q)
|
92% |
731
982.0 IPS |
|
|
Machine Translation (SP)
|
100% |
2874
49.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2997
51.6 IPS |
|
|
Machine Translation (Q)
|
58% |
655
15.4 IPS |
