Hewlett-Packard HP Z840 Workstation
Geekbench ML Score
2617
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 01 2025 06:40 AM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Hewlett-Packard HP Z840 Workstation |
| Motherboard | Hewlett-Packard 2129 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2697 v4 |
| Topology | 2 Processors, 36 Cores, 72 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 18 Cores |
| L1 Instruction Cache | 32.0 KB x 18 |
| L1 Data Cache | 32.0 KB x 18 |
| L2 Cache | 256 KB x 18 |
| L3 Cache | 45.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 160.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1230
230.2 IPS |
|
|
Image Classification (F16)
|
100% |
1240
232.1 IPS |
|
|
Image Classification (I8)
|
97% |
1623
303.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1013
16.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
998
16.7 IPS |
|
|
Image Segmentation (I8)
|
97% |
1524
25.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
15147
18.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
15128
18.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
14673
17.8 IPS |
|
|
Object Detection (F32)
|
100% |
1184
88.4 IPS |
|
|
Object Detection (F16)
|
100% |
1182
88.2 IPS |
|
|
Object Detection (I8)
|
60% |
974
72.7 IPS |
|
|
Face Detection (F32)
|
100% |
2429
28.9 IPS |
|
|
Face Detection (F16)
|
100% |
2410
28.7 IPS |
|
|
Face Detection (I8)
|
87% |
2202
26.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
7447
57.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
7483
58.0 IPS |
|
|
Depth Estimation (I8)
|
74% |
8372
64.9 IPS |
|
|
Style Transfer (F32)
|
100% |
22799
30.0 IPS |
|
|
Style Transfer (F16)
|
100% |
22721
29.9 IPS |
|
|
Style Transfer (I8)
|
85% |
10754
14.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2099
75.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2040
72.9 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
2070
73.9 IPS |
|
|
Text Classification (F32)
|
100% |
886
1.27 KIPS |
|
|
Text Classification (F16)
|
100% |
886
1.27 KIPS |
|
|
Text Classification (I8)
|
94% |
612
878.9 IPS |
|
|
Machine Translation (F32)
|
100% |
956
17.6 IPS |
|
|
Machine Translation (F16)
|
100% |
938
17.3 IPS |
|
|
Machine Translation (I8)
|
67% |
1532
28.2 IPS |
