H3C H3CDesk X500t
Geekbench AI Score
3202
Single Precision Score
728
Half Precision Score
3791
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 03 2024 07:33 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-13700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | H3C H3CDesk X500t |
| Motherboard | H3C 3007 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700 |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1867
347.2 IPS |
|
|
Image Classification (HP)
|
100% |
141
26.2 IPS |
|
|
Image Classification (Q)
|
99% |
3466
646.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1631
26.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
253
4.11 IPS |
|
|
Image Segmentation (Q)
|
98% |
2490
40.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6135
7.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
3735
4.36 IPS |
|
|
Pose Estimation (Q)
|
95% |
22982
26.9 IPS |
|
|
Object Detection (SP)
|
100% |
2153
170.8 IPS |
|
|
Object Detection (HP)
|
100% |
197
15.6 IPS |
|
|
Object Detection (Q)
|
88% |
1811
145.2 IPS |
|
|
Face Detection (SP)
|
100% |
3212
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
281
3.34 IPS |
|
|
Face Detection (Q)
|
97% |
3466
41.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7367
56.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
866
6.67 IPS |
|
|
Depth Estimation (Q)
|
76% |
8273
66.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16024
20.6 IPS |
|
|
Style Transfer (HP)
|
100% |
9859
12.7 IPS |
|
|
Style Transfer (Q)
|
98% |
18898
24.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2825
104.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1885
69.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3875
143.5 IPS |
|
|
Text Classification (SP)
|
100% |
1556
2.08 KIPS |
|
|
Text Classification (HP)
|
100% |
601
801.6 IPS |
|
|
Text Classification (Q)
|
97% |
450
603.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1695
29.2 IPS |
|
|
Machine Translation (HP)
|
100% |
588
10.1 IPS |
|
|
Machine Translation (Q)
|
60% |
1807
40.3 IPS |
