HUANANZHI
Geekbench AI Score
13857
Single Precision Score
21537
Half Precision Score
22471
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 02 2024 02:44 PM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) A770 Graphics (dGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | HUANANZHI |
| Motherboard | HUANANZHI B760M-D5 PLUS |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13600KF |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5742
1.07 KIPS |
|
|
Image Classification (HP)
|
100% |
8526
1.59 KIPS |
|
|
Image Classification (Q)
|
100% |
8441
1.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14628
237.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
19206
311.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
19910
322.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
75253
87.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
202647
236.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
318369
372.7 IPS |
|
|
Object Detection (SP)
|
100% |
5409
429.1 IPS |
|
|
Object Detection (HP)
|
100% |
10310
817.8 IPS |
|
|
Object Detection (Q)
|
88% |
10353
829.7 IPS |
|
|
Face Detection (SP)
|
100% |
25988
308.8 IPS |
|
|
Face Detection (HP)
|
100% |
35927
426.9 IPS |
|
|
Face Detection (Q)
|
100% |
36874
438.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
25688
197.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
55516
427.7 IPS |
|
|
Depth Estimation (Q)
|
80% |
55423
438.9 IPS |
|
|
Style Transfer (SP)
|
100% |
194307
249.8 IPS |
|
|
Style Transfer (HP)
|
100% |
303558
390.2 IPS |
|
|
Style Transfer (Q)
|
98% |
378573
488.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
18328
676.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26207
967.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26615
985.6 IPS |
|
|
Text Classification (SP)
|
100% |
1795
2.40 KIPS |
|
|
Text Classification (HP)
|
100% |
1568
2.09 KIPS |
|
|
Text Classification (Q)
|
92% |
1429
1.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
1790
30.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2523
43.5 IPS |
|
|
Machine Translation (Q)
|
82% |
2014
35.4 IPS |
