HUANANZHI
Geekbench AI Score
3162
Single Precision Score
654
Half Precision Score
2645
Quantized Score
Geekbench AI 1.0.0 for Linux AVX2
Result Information
| User | virgilio77 |
| Upload Date | August 16 2024 11:19 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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% |
1674
311.3 IPS |
|
|
Image Classification (HP)
|
100% |
110
20.5 IPS |
|
|
Image Classification (Q)
|
94% |
1783
333.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1425
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
221
3.59 IPS |
|
|
Image Segmentation (Q)
|
98% |
1612
26.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9042
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
5463
6.37 IPS |
|
|
Pose Estimation (Q)
|
87% |
9029
10.7 IPS |
|
|
Object Detection (SP)
|
100% |
2074
164.5 IPS |
|
|
Object Detection (HP)
|
100% |
171
13.6 IPS |
|
|
Object Detection (Q)
|
86% |
1270
102.1 IPS |
|
|
Face Detection (SP)
|
100% |
3251
38.6 IPS |
|
|
Face Detection (HP)
|
100% |
273
3.25 IPS |
|
|
Face Detection (Q)
|
96% |
3046
36.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8040
61.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
777
5.98 IPS |
|
|
Depth Estimation (Q)
|
76% |
5065
40.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18284
23.5 IPS |
|
|
Style Transfer (HP)
|
100% |
13994
18.0 IPS |
|
|
Style Transfer (Q)
|
87% |
12312
16.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2511
92.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1816
67.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2105
78.0 IPS |
|
|
Text Classification (SP)
|
100% |
1202
1.60 KIPS |
|
|
Text Classification (HP)
|
100% |
365
487.6 IPS |
|
|
Text Classification (Q)
|
97% |
846
1.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
1551
26.7 IPS |
|
|
Machine Translation (HP)
|
100% |
321
5.53 IPS |
|
|
Machine Translation (Q)
|
60% |
1505
33.6 IPS |
