Hewlett-Packard HP Z840 Workstation
Geekbench AI Score
8336
Single Precision Score
8618
Half Precision Score
6033
Quantized Score
Geekbench AI 1.3.0 Corporate for Windows AVX2
Result Information
| User | XingGuobin |
| Upload Date | April 15 2025 05:32 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA Quadro P5000 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 (64-bit) |
| Model | Hewlett-Packard HP Z840 Workstation |
| Motherboard | Hewlett-Packard 2129 |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2667 v4 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2288
425.4 IPS |
|
|
Image Classification (HP)
|
100% |
3409
633.9 IPS |
|
|
Image Classification (Q)
|
99% |
1944
362.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
5593
90.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5602
90.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4398
71.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
62177
72.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
36087
42.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
47237
55.3 IPS |
|
|
Object Detection (SP)
|
100% |
2861
226.9 IPS |
|
|
Object Detection (HP)
|
100% |
4604
365.2 IPS |
|
|
Object Detection (Q)
|
84% |
2478
199.9 IPS |
|
|
Face Detection (SP)
|
100% |
5761
68.5 IPS |
|
|
Face Detection (HP)
|
100% |
9175
109.0 IPS |
|
|
Face Detection (Q)
|
97% |
5084
60.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
18989
146.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
17122
132.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
14339
114.6 IPS |
|
|
Style Transfer (SP)
|
100% |
98766
127.0 IPS |
|
|
Style Transfer (HP)
|
100% |
57399
73.8 IPS |
|
|
Style Transfer (Q)
|
98% |
73224
94.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16336
603.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13403
494.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10028
371.3 IPS |
|
|
Text Classification (SP)
|
100% |
1397
1.86 KIPS |
|
|
Text Classification (HP)
|
100% |
2027
2.71 KIPS |
|
|
Text Classification (Q)
|
97% |
858
1.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
2887
49.7 IPS |
|
|
Machine Translation (HP)
|
96% |
2910
50.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1390
26.1 IPS |
