Huawei RH2288H V3
Geekbench AI Score
2142
Single Precision Score
507
Half Precision Score
2748
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | AndyMcSchopf |
| Upload Date | January 08 2025 11:21 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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% |
938
174.5 IPS |
|
|
Image Classification (HP)
|
100% |
99
18.4 IPS |
|
|
Image Classification (Q)
|
94% |
2580
482.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
855
13.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
169
2.74 IPS |
|
|
Image Segmentation (Q)
|
98% |
1362
22.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8504
9.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
4474
5.22 IPS |
|
|
Pose Estimation (Q)
|
86% |
8480
10.0 IPS |
|
|
Object Detection (SP)
|
100% |
1243
98.6 IPS |
|
|
Object Detection (HP)
|
100% |
138
11.0 IPS |
|
|
Object Detection (Q)
|
58% |
2018
220.4 IPS |
|
|
Face Detection (SP)
|
100% |
2080
24.7 IPS |
|
|
Face Detection (HP)
|
100% |
213
2.53 IPS |
|
|
Face Detection (Q)
|
96% |
6040
72.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4984
38.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
588
4.53 IPS |
|
|
Depth Estimation (Q)
|
78% |
5805
46.3 IPS |
|
|
Style Transfer (SP)
|
100% |
15238
19.6 IPS |
|
|
Style Transfer (HP)
|
100% |
10651
13.7 IPS |
|
|
Style Transfer (Q)
|
87% |
8640
11.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1640
60.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1137
42.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1619
60.0 IPS |
|
|
Text Classification (SP)
|
100% |
875
1.17 KIPS |
|
|
Text Classification (HP)
|
100% |
285
380.8 IPS |
|
|
Text Classification (Q)
|
97% |
671
898.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1059
18.3 IPS |
|
|
Machine Translation (HP)
|
100% |
253
4.35 IPS |
|
|
Machine Translation (Q)
|
68% |
1241
24.0 IPS |
