Huawei RH2288H V3
Geekbench AI Score
1185
Single Precision Score
1183
Half Precision Score
779
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | AndyMcSchopf |
| Upload Date | January 08 2025 10:59 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Xeon E5-2630 v4 |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux 12 (bookworm) |
| Model | Huawei RH2288H V3 |
| Motherboard | Huawei Technologies Co., Ltd. BC11HGSA0 |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2630 v4 |
| Topology | 2 Processors, 20 Cores, 40 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 3.10 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 93.99 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
871
161.9 IPS |
|
|
Image Classification (HP)
|
100% |
924
171.9 IPS |
|
|
Image Classification (Q)
|
99% |
614
114.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1375
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1374
22.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
558
9.07 IPS |
|
|
Pose Estimation (SP)
|
100% |
1668
1.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
1701
1.99 IPS |
|
|
Pose Estimation (Q)
|
96% |
2508
2.94 IPS |
|
|
Object Detection (SP)
|
100% |
974
77.3 IPS |
|
|
Object Detection (HP)
|
100% |
975
77.4 IPS |
|
|
Object Detection (Q)
|
85% |
501
40.3 IPS |
|
|
Face Detection (SP)
|
100% |
1498
17.8 IPS |
|
|
Face Detection (HP)
|
100% |
1263
15.0 IPS |
|
|
Face Detection (Q)
|
97% |
1260
15.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1297
9.99 IPS |
|
|
Depth Estimation (HP)
|
99% |
1311
10.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
976
9.15 IPS |
|
|
Style Transfer (SP)
|
100% |
1811
2.33 IPS |
|
|
Style Transfer (HP)
|
100% |
1767
2.27 IPS |
|
|
Style Transfer (Q)
|
98% |
3407
4.39 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
970
35.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
973
35.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
922
34.2 IPS |
|
|
Text Classification (SP)
|
100% |
787
1.05 KIPS |
|
|
Text Classification (HP)
|
100% |
771
1.03 KIPS |
|
|
Text Classification (Q)
|
92% |
188
252.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1047
18.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1162
20.0 IPS |
|
|
Machine Translation (Q)
|
58% |
266
6.25 IPS |
