HUANANZHI
Geekbench AI Score
1481
Single Precision Score
1487
Half Precision Score
817
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | SuperTerminator |
| Upload Date | April 26 2025 03:13 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Xeon E5-2666 v3 |
| System Information | |
|---|---|
| Operating System | Deepin 23.1 |
| Model | HUANANZHI |
| Motherboard | HUANANZHI X99-AD3 |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2666 v3 |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 63 Stepping 2 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.69 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1205
224.1 IPS |
|
|
Image Classification (HP)
|
100% |
1215
225.9 IPS |
|
|
Image Classification (Q)
|
99% |
617
115.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1529
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1513
24.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
564
9.16 IPS |
|
|
Pose Estimation (SP)
|
100% |
1807
2.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
1811
2.11 IPS |
|
|
Pose Estimation (Q)
|
96% |
1955
2.29 IPS |
|
|
Object Detection (SP)
|
100% |
1284
101.8 IPS |
|
|
Object Detection (HP)
|
100% |
1279
101.4 IPS |
|
|
Object Detection (Q)
|
85% |
679
54.7 IPS |
|
|
Face Detection (SP)
|
100% |
1837
21.8 IPS |
|
|
Face Detection (HP)
|
100% |
1834
21.8 IPS |
|
|
Face Detection (Q)
|
97% |
1273
15.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1661
12.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1663
12.8 IPS |
|
|
Depth Estimation (Q)
|
63% |
1018
9.54 IPS |
|
|
Style Transfer (SP)
|
100% |
2097
2.70 IPS |
|
|
Style Transfer (HP)
|
100% |
2087
2.68 IPS |
|
|
Style Transfer (Q)
|
98% |
3012
3.88 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1141
42.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1143
42.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
852
31.6 IPS |
|
|
Text Classification (SP)
|
100% |
1028
1.37 KIPS |
|
|
Text Classification (HP)
|
100% |
1050
1.40 KIPS |
|
|
Text Classification (Q)
|
92% |
312
419.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1588
27.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1626
28.0 IPS |
|
|
Machine Translation (Q)
|
58% |
277
6.50 IPS |
