Hewlett-Packard HP Z600 Workstation
Geekbench ML Score
560
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows x86 (64-bit)
Result Information
| User | saiht |
| Upload Date | July 25 2024 02:31 PM |
| Views | 9 |
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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
249
46.6 IPS |
|
|
Image Classification (F16)
|
100% |
309
57.7 IPS |
|
|
Image Classification (I8)
|
96% |
541
101.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
219
3.66 IPS |
|
|
Image Segmentation (F16)
|
100% |
213
3.56 IPS |
|
|
Image Segmentation (I8)
|
97% |
387
6.46 IPS |
|
|
Pose Estimation (F32)
|
100% |
564
0.68 IPS |
|
|
Pose Estimation (F16)
|
100% |
914
1.11 IPS |
|
|
Pose Estimation (I8)
|
100% |
1274
1.54 IPS |
|
|
Object Detection (F32)
|
100% |
364
27.2 IPS |
|
|
Object Detection (F16)
|
100% |
359
26.8 IPS |
|
|
Object Detection (I8)
|
62% |
289
21.6 IPS |
|
|
Face Detection (F32)
|
100% |
834
9.92 IPS |
|
|
Face Detection (F16)
|
100% |
830
9.87 IPS |
|
|
Face Detection (I8)
|
87% |
968
11.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
979
7.60 IPS |
|
|
Depth Estimation (F16)
|
100% |
1156
8.97 IPS |
|
|
Depth Estimation (I8)
|
74% |
1423
11.0 IPS |
|
|
Style Transfer (F32)
|
100% |
1966
2.59 IPS |
|
|
Style Transfer (F16)
|
100% |
2390
3.14 IPS |
|
|
Style Transfer (I8)
|
85% |
2896
3.81 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
507
18.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
495
17.7 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
628
22.4 IPS |
|
|
Text Classification (F32)
|
100% |
234
336.8 IPS |
|
|
Text Classification (F16)
|
100% |
288
414.1 IPS |
|
|
Text Classification (I8)
|
94% |
182
262.0 IPS |
|
|
Machine Translation (F32)
|
100% |
427
7.86 IPS |
|
|
Machine Translation (F16)
|
100% |
366
6.74 IPS |
|
|
Machine Translation (I8)
|
67% |
352
6.49 IPS |
