HUANANZHI
Geekbench AI Score
5452
Single Precision Score
5398
Half Precision Score
5305
Quantized Score
Geekbench AI 1.0.0 for Linux AVX2
Result Information
| User | virgilio77 |
| Upload Date | August 16 2024 11:21 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) CPU E5-2697A v4 @ 2.60GHz |
| 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% |
3578
665.4 IPS |
|
|
Image Classification (HP)
|
100% |
3514
653.5 IPS |
|
|
Image Classification (Q)
|
100% |
3446
640.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3261
52.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3264
52.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3397
55.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7905
9.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
7908
9.23 IPS |
|
|
Pose Estimation (Q)
|
94% |
10171
11.9 IPS |
|
|
Object Detection (SP)
|
100% |
3418
271.1 IPS |
|
|
Object Detection (HP)
|
100% |
3411
270.5 IPS |
|
|
Object Detection (Q)
|
87% |
3399
272.6 IPS |
|
|
Face Detection (SP)
|
100% |
9165
108.9 IPS |
|
|
Face Detection (HP)
|
100% |
9124
108.4 IPS |
|
|
Face Detection (Q)
|
97% |
11111
132.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9723
74.9 IPS |
|
|
Depth Estimation (HP)
|
100% |
9722
74.9 IPS |
|
|
Depth Estimation (Q)
|
79% |
11419
90.6 IPS |
|
|
Style Transfer (SP)
|
100% |
26571
34.2 IPS |
|
|
Style Transfer (HP)
|
100% |
25381
32.6 IPS |
|
|
Style Transfer (Q)
|
98% |
29620
38.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5408
199.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5271
194.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5746
212.8 IPS |
|
|
Text Classification (SP)
|
100% |
1782
2.38 KIPS |
|
|
Text Classification (HP)
|
100% |
1779
2.37 KIPS |
|
|
Text Classification (Q)
|
91% |
921
1.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3226
55.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3217
55.4 IPS |
|
|
Machine Translation (Q)
|
90% |
2195
38.1 IPS |
