HUANANZHI
Geekbench AI Score
1019
Single Precision Score
1020
Half Precision Score
566
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| Upload Date | December 14 2025 05:49 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Xeon E5-2630L v3 |
| System Information | |
|---|---|
| Operating System | Pop!_OS 24.04 LTS |
| Model | HUANANZHI |
| Motherboard | HUANANZHI X99-8M-F |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2630L v3 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 63 Stepping 2 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
779
144.9 IPS |
|
|
Image Classification (HP)
|
100% |
774
144.0 IPS |
|
|
Image Classification (Q)
|
99% |
406
75.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1018
16.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1017
16.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
420
6.83 IPS |
|
|
Pose Estimation (SP)
|
100% |
1239
1.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
1237
1.44 IPS |
|
|
Pose Estimation (Q)
|
96% |
1152
1.35 IPS |
|
|
Object Detection (SP)
|
100% |
813
64.5 IPS |
|
|
Object Detection (HP)
|
100% |
819
64.9 IPS |
|
|
Object Detection (Q)
|
85% |
434
34.9 IPS |
|
|
Face Detection (SP)
|
100% |
1217
14.5 IPS |
|
|
Face Detection (HP)
|
100% |
1224
14.5 IPS |
|
|
Face Detection (Q)
|
97% |
887
10.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1174
9.05 IPS |
|
|
Depth Estimation (HP)
|
99% |
1180
9.09 IPS |
|
|
Depth Estimation (Q)
|
63% |
773
7.25 IPS |
|
|
Style Transfer (SP)
|
100% |
1462
1.88 IPS |
|
|
Style Transfer (HP)
|
100% |
1459
1.88 IPS |
|
|
Style Transfer (Q)
|
98% |
2178
2.81 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
803
29.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
805
29.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
525
19.5 IPS |
|
|
Text Classification (SP)
|
100% |
813
1.09 KIPS |
|
|
Text Classification (HP)
|
100% |
806
1.08 KIPS |
|
|
Text Classification (Q)
|
92% |
232
311.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1116
19.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1118
19.3 IPS |
|
|
Machine Translation (Q)
|
58% |
220
5.18 IPS |
