HUANANZHI
Geekbench AI Score
1408
Single Precision Score
1392
Half Precision Score
859
Quantized Score
Geekbench AI 1.6.0 for Linux AVX2
Result Information
| User | goodsirpunisher |
| Upload Date | February 03 2026 11:33 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Xeon E5-2680 v4 |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux 12 (bookworm) |
| Model | HUANANZHI |
| Motherboard | HUANANZHI X99-F8D PLUS |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2680 v4 |
| Topology | 2 Processors, 28 Cores, 56 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 251.79 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
991
184.3 IPS |
|
|
Image Classification (HP)
|
100% |
976
181.5 IPS |
|
|
Image Classification (Q)
|
99% |
579
107.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1818
29.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1805
29.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
591
9.61 IPS |
|
|
Pose Estimation (SP)
|
100% |
1911
2.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
1869
2.18 IPS |
|
|
Pose Estimation (Q)
|
96% |
3364
3.94 IPS |
|
|
Object Detection (SP)
|
100% |
1146
90.9 IPS |
|
|
Object Detection (HP)
|
100% |
1131
89.7 IPS |
|
|
Object Detection (Q)
|
85% |
607
48.8 IPS |
|
|
Face Detection (SP)
|
100% |
1788
21.2 IPS |
|
|
Face Detection (HP)
|
100% |
1779
21.1 IPS |
|
|
Face Detection (Q)
|
97% |
1269
15.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1535
11.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1500
11.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
1139
10.7 IPS |
|
|
Style Transfer (SP)
|
100% |
1919
2.47 IPS |
|
|
Style Transfer (HP)
|
100% |
1835
2.36 IPS |
|
|
Style Transfer (Q)
|
98% |
3478
4.49 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1234
45.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1232
45.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1017
37.7 IPS |
|
|
Text Classification (SP)
|
100% |
822
1.10 KIPS |
|
|
Text Classification (HP)
|
100% |
910
1.21 KIPS |
|
|
Text Classification (Q)
|
92% |
223
299.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1458
25.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1339
23.1 IPS |
|
|
Machine Translation (Q)
|
58% |
276
6.49 IPS |
