Hewlett-Packard HP Z840 Workstation
Geekbench ML Score
8301
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | January 11 2025 07:07 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Hewlett-Packard HP Z840 Workstation |
| Motherboard | Hewlett-Packard 2129 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2698 v3 |
| Topology | 2 Processors, 32 Cores, 64 Threads |
| Identifier | GenuineIntel Family 6 Model 63 Stepping 2 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 32 Cores |
| L1 Instruction Cache | 32.0 KB x 16 |
| L1 Data Cache | 32.0 KB x 16 |
| L2 Cache | 256 KB x 16 |
| L3 Cache | 40.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 256.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4001
748.6 IPS |
|
|
Image Classification (F16)
|
100% |
4026
753.3 IPS |
|
|
Image Classification (I8)
|
100% |
3225
603.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
5121
85.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
5036
84.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
4455
74.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
62592
75.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
62413
75.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
51395
62.2 IPS |
|
|
Object Detection (F32)
|
100% |
2779
207.5 IPS |
|
|
Object Detection (F16)
|
100% |
2802
209.2 IPS |
|
|
Object Detection (I8)
|
61% |
2489
185.8 IPS |
|
|
Face Detection (F32)
|
100% |
10935
130.0 IPS |
|
|
Face Detection (F16)
|
100% |
10925
129.9 IPS |
|
|
Face Detection (I8)
|
89% |
8928
106.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
26961
209.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
27110
210.2 IPS |
|
|
Depth Estimation (I8)
|
94% |
20408
158.3 IPS |
|
|
Style Transfer (F32)
|
100% |
97258
127.9 IPS |
|
|
Style Transfer (F16)
|
100% |
96589
127.1 IPS |
|
|
Style Transfer (I8)
|
98% |
80328
105.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
16033
572.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
16049
573.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
11230
401.1 IPS |
|
|
Text Classification (F32)
|
100% |
1573
2.26 KIPS |
|
|
Text Classification (F16)
|
100% |
1580
2.27 KIPS |
|
|
Text Classification (I8)
|
98% |
921
1.32 KIPS |
|
|
Machine Translation (F32)
|
100% |
1526
28.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1436
26.4 IPS |
|
|
Machine Translation (I8)
|
70% |
929
17.1 IPS |
