System manufacturer System Product Name
Geekbench AI Score
2227
Single Precision Score
2272
Half Precision Score
1774
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | TyphooN |
| Upload Date | November 18 2025 12:24 AM |
| Views | 14 |
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% |
1509
280.7 IPS |
|
|
Image Classification (HP)
|
100% |
1534
285.2 IPS |
|
|
Image Classification (Q)
|
99% |
1182
220.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2529
41.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2523
40.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1208
19.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3204
3.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
3216
3.75 IPS |
|
|
Pose Estimation (Q)
|
96% |
4378
5.13 IPS |
|
|
Object Detection (SP)
|
100% |
1635
129.7 IPS |
|
|
Object Detection (HP)
|
100% |
1644
130.4 IPS |
|
|
Object Detection (Q)
|
85% |
1449
116.7 IPS |
|
|
Face Detection (SP)
|
100% |
2674
31.8 IPS |
|
|
Face Detection (HP)
|
100% |
2763
32.8 IPS |
|
|
Face Detection (Q)
|
97% |
2713
32.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2492
19.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2508
19.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
2146
20.1 IPS |
|
|
Style Transfer (SP)
|
100% |
3257
4.19 IPS |
|
|
Style Transfer (HP)
|
100% |
3238
4.16 IPS |
|
|
Style Transfer (Q)
|
98% |
6605
8.52 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1738
64.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1728
63.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1875
69.5 IPS |
|
|
Text Classification (SP)
|
100% |
1335
1.78 KIPS |
|
|
Text Classification (HP)
|
100% |
1441
1.92 KIPS |
|
|
Text Classification (Q)
|
92% |
734
986.7 IPS |
|
|
Machine Translation (SP)
|
100% |
2984
51.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3207
55.2 IPS |
|
|
Machine Translation (Q)
|
58% |
644
15.1 IPS |
