System manufacturer System Product Name
Geekbench AI Score
2206
Single Precision Score
2279
Half Precision Score
1774
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| Upload Date | November 13 2025 12:10 AM |
| 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% |
1594
296.4 IPS |
|
|
Image Classification (HP)
|
100% |
1587
295.2 IPS |
|
|
Image Classification (Q)
|
99% |
1226
228.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2459
39.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2456
39.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1193
19.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3188
3.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
3223
3.76 IPS |
|
|
Pose Estimation (Q)
|
96% |
4333
5.08 IPS |
|
|
Object Detection (SP)
|
100% |
1728
137.1 IPS |
|
|
Object Detection (HP)
|
100% |
1714
136.0 IPS |
|
|
Object Detection (Q)
|
85% |
1467
118.1 IPS |
|
|
Face Detection (SP)
|
100% |
2596
30.8 IPS |
|
|
Face Detection (HP)
|
100% |
2664
31.7 IPS |
|
|
Face Detection (Q)
|
97% |
2568
30.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2513
19.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2521
19.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
2227
20.9 IPS |
|
|
Style Transfer (SP)
|
100% |
3229
4.15 IPS |
|
|
Style Transfer (HP)
|
100% |
3238
4.16 IPS |
|
|
Style Transfer (Q)
|
98% |
6591
8.50 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1741
64.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1764
65.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1891
70.1 IPS |
|
|
Text Classification (SP)
|
100% |
1200
1.60 KIPS |
|
|
Text Classification (HP)
|
100% |
1535
2.05 KIPS |
|
|
Text Classification (Q)
|
92% |
739
992.6 IPS |
|
|
Machine Translation (SP)
|
100% |
2875
49.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2992
51.5 IPS |
|
|
Machine Translation (Q)
|
58% |
633
14.9 IPS |
