HUANANZHI
Geekbench AI Score
6615
Single Precision Score
7230
Half Precision Score
4805
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | techidiot |
| Upload Date | June 13 2025 03:13 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Radeon (TM) RX 480 Series |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise LTSC (64-bit) |
| Model | HUANANZHI |
| Motherboard | HUANANZHI X99-4MF |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2650 v3 |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 63 Stepping 2 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2449
455.4 IPS |
|
|
Image Classification (HP)
|
100% |
2963
551.0 IPS |
|
|
Image Classification (Q)
|
100% |
2030
377.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3404
55.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3715
60.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2888
47.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
40290
47.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
46433
54.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
35651
41.8 IPS |
|
|
Object Detection (SP)
|
100% |
2865
227.2 IPS |
|
|
Object Detection (HP)
|
100% |
3077
244.1 IPS |
|
|
Object Detection (Q)
|
88% |
2417
193.8 IPS |
|
|
Face Detection (SP)
|
100% |
7873
93.6 IPS |
|
|
Face Detection (HP)
|
100% |
10315
122.6 IPS |
|
|
Face Detection (Q)
|
97% |
6304
75.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
16126
124.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
18114
139.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
11593
92.9 IPS |
|
|
Style Transfer (SP)
|
100% |
71412
91.8 IPS |
|
|
Style Transfer (HP)
|
100% |
75666
97.3 IPS |
|
|
Style Transfer (Q)
|
98% |
54288
70.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10357
382.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11227
414.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6591
244.1 IPS |
|
|
Text Classification (SP)
|
100% |
982
1.31 KIPS |
|
|
Text Classification (HP)
|
100% |
860
1.15 KIPS |
|
|
Text Classification (Q)
|
97% |
602
806.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1809
31.2 IPS |
|
|
Machine Translation (HP)
|
96% |
1820
31.5 IPS |
|
|
Machine Translation (Q)
|
70% |
825
15.5 IPS |
