HUANANZHI
Geekbench AI Score
1768
Single Precision Score
1777
Half Precision Score
1086
Quantized Score
Geekbench AI 1.0.0 for Linux AVX2
Result Information
| User | virgilio77 |
| Upload Date | August 16 2024 11:10 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Xeon E5-2697A v4 |
| System Information | |
|---|---|
| Operating System | LMDE 6 (faye) |
| Model | HUANANZHI |
| Motherboard | HUANANZHI X99-QD4 |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2697A v4 |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 125.64 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1427
265.3 IPS |
|
|
Image Classification (HP)
|
100% |
1402
260.7 IPS |
|
|
Image Classification (Q)
|
99% |
696
129.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2000
32.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2035
33.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
769
12.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2186
2.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
2199
2.57 IPS |
|
|
Pose Estimation (Q)
|
96% |
2759
3.23 IPS |
|
|
Object Detection (SP)
|
100% |
1493
118.4 IPS |
|
|
Object Detection (HP)
|
100% |
1546
122.6 IPS |
|
|
Object Detection (Q)
|
86% |
937
75.3 IPS |
|
|
Face Detection (SP)
|
100% |
2344
27.9 IPS |
|
|
Face Detection (HP)
|
100% |
2349
27.9 IPS |
|
|
Face Detection (Q)
|
97% |
1664
19.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1964
15.1 IPS |
|
|
Depth Estimation (HP)
|
100% |
1984
15.3 IPS |
|
|
Depth Estimation (Q)
|
74% |
1673
13.6 IPS |
|
|
Style Transfer (SP)
|
100% |
2541
3.27 IPS |
|
|
Style Transfer (HP)
|
100% |
2548
3.28 IPS |
|
|
Style Transfer (Q)
|
98% |
4370
5.63 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1366
50.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1365
50.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1093
40.5 IPS |
|
|
Text Classification (SP)
|
100% |
1143
1.53 KIPS |
|
|
Text Classification (HP)
|
100% |
1132
1.51 KIPS |
|
|
Text Classification (Q)
|
92% |
360
483.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1763
30.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1772
30.5 IPS |
|
|
Machine Translation (Q)
|
58% |
346
8.12 IPS |
