Huawei RH2288H V3
Geekbench AI Score
3484
Single Precision Score
3467
Half Precision Score
3462
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | AndyMcSchopf |
| Upload Date | January 08 2025 11:24 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) CPU E5-2630 v4 @ 2.20GHz |
| 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% |
2304
428.5 IPS |
|
|
Image Classification (HP)
|
100% |
2272
422.4 IPS |
|
|
Image Classification (Q)
|
100% |
2216
412.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2600
42.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2613
42.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2616
42.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4707
5.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
4653
5.43 IPS |
|
|
Pose Estimation (Q)
|
94% |
5314
6.23 IPS |
|
|
Object Detection (SP)
|
100% |
2045
162.2 IPS |
|
|
Object Detection (HP)
|
100% |
2031
161.1 IPS |
|
|
Object Detection (Q)
|
87% |
2322
186.2 IPS |
|
|
Face Detection (SP)
|
100% |
4827
57.4 IPS |
|
|
Face Detection (HP)
|
100% |
4807
57.1 IPS |
|
|
Face Detection (Q)
|
97% |
6475
77.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5938
45.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
5951
45.8 IPS |
|
|
Depth Estimation (Q)
|
81% |
6161
48.6 IPS |
|
|
Style Transfer (SP)
|
100% |
13972
18.0 IPS |
|
|
Style Transfer (HP)
|
100% |
13896
17.9 IPS |
|
|
Style Transfer (Q)
|
98% |
15453
19.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2955
109.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2873
106.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3131
116.0 IPS |
|
|
Text Classification (SP)
|
100% |
1777
2.37 KIPS |
|
|
Text Classification (HP)
|
100% |
1775
2.37 KIPS |
|
|
Text Classification (Q)
|
91% |
839
1.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
2175
37.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2210
38.1 IPS |
|
|
Machine Translation (Q)
|
100% |
2141
36.9 IPS |
