Hewlett-Packard HP Z600 Workstation
Geekbench ML Score
3815
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows x86 (64-bit)
Result Information
| User | saiht |
| Upload Date | July 25 2024 04:18 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Hewlett-Packard HP Z600 Workstation |
| Motherboard | Hewlett-Packard 0B54h |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Xeon X5550 |
| Topology | 2 Processors, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 26 Stepping 5 |
| Base Frequency | 2.66 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 4 |
| L1 Data Cache | 32.0 KB x 4 |
| L2 Cache | 256 KB x 4 |
| L3 Cache | 8.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Radeon (TM) RX 470 Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2012
376.5 IPS |
|
|
Image Classification (F16)
|
100% |
2059
385.4 IPS |
|
|
Image Classification (I8)
|
99% |
1668
312.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1660
27.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1638
27.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
1455
24.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
39036
47.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
38940
47.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
30675
37.1 IPS |
|
|
Object Detection (F32)
|
100% |
1394
104.1 IPS |
|
|
Object Detection (F16)
|
100% |
1403
104.8 IPS |
|
|
Object Detection (I8)
|
56% |
1294
96.6 IPS |
|
|
Face Detection (F32)
|
100% |
5452
64.8 IPS |
|
|
Face Detection (F16)
|
100% |
5140
61.1 IPS |
|
|
Face Detection (I8)
|
88% |
4168
49.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
14432
111.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
14225
110.3 IPS |
|
|
Depth Estimation (I8)
|
95% |
11908
92.3 IPS |
|
|
Style Transfer (F32)
|
100% |
52384
68.9 IPS |
|
|
Style Transfer (F16)
|
100% |
51030
67.1 IPS |
|
|
Style Transfer (I8)
|
98% |
39888
52.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5692
203.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5963
212.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4734
169.1 IPS |
|
|
Text Classification (F32)
|
100% |
578
830.4 IPS |
|
|
Text Classification (F16)
|
100% |
570
819.1 IPS |
|
|
Text Classification (I8)
|
98% |
450
647.3 IPS |
|
|
Machine Translation (F32)
|
100% |
495
9.10 IPS |
|
|
Machine Translation (F16)
|
100% |
494
9.09 IPS |
|
|
Machine Translation (I8)
|
69% |
489
8.99 IPS |
