System manufacturer System Product Name
Geekbench AI Score
2491
Single Precision Score
2467
Half Precision Score
1851
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| User | bet2600 |
| Upload Date | September 12 2024 02:56 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X |
| System Information | |
|---|---|
| Operating System | CachyOS |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX X570-E GAMING |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 5.08 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.70 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1766
328.5 IPS |
|
|
Image Classification (HP)
|
100% |
1758
327.0 IPS |
|
|
Image Classification (Q)
|
99% |
1272
237.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2707
43.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2700
43.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1307
21.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3458
4.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
3457
4.03 IPS |
|
|
Pose Estimation (Q)
|
96% |
4554
5.34 IPS |
|
|
Object Detection (SP)
|
100% |
1884
149.4 IPS |
|
|
Object Detection (HP)
|
100% |
1880
149.1 IPS |
|
|
Object Detection (Q)
|
85% |
1543
124.2 IPS |
|
|
Face Detection (SP)
|
100% |
2959
35.2 IPS |
|
|
Face Detection (HP)
|
100% |
2929
34.8 IPS |
|
|
Face Detection (Q)
|
97% |
2919
34.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2754
21.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2753
21.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
2304
21.6 IPS |
|
|
Style Transfer (SP)
|
100% |
3343
4.30 IPS |
|
|
Style Transfer (HP)
|
100% |
3349
4.30 IPS |
|
|
Style Transfer (Q)
|
98% |
6784
8.75 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1900
70.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1937
71.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1937
71.8 IPS |
|
|
Text Classification (SP)
|
100% |
1677
2.24 KIPS |
|
|
Text Classification (HP)
|
100% |
1528
2.04 KIPS |
|
|
Text Classification (Q)
|
92% |
763
1.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
3406
58.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3397
58.5 IPS |
|
|
Machine Translation (Q)
|
58% |
600
14.1 IPS |
