Hewlett-Packard HP Z840 Workstation
Geekbench AI Score
4279
Single Precision Score
4306
Half Precision Score
4318
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 29 2025 06:43 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) CPU E5-2697 v4 @ 2.30GHz |
| 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 |
| Memory Information | |
|---|---|
| Size | 160.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2850
530.0 IPS |
|
|
Image Classification (HP)
|
100% |
2750
511.4 IPS |
|
|
Image Classification (Q)
|
100% |
3135
583.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3554
57.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3545
57.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4528
73.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6150
7.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
6227
7.27 IPS |
|
|
Pose Estimation (Q)
|
94% |
9583
11.2 IPS |
|
|
Object Detection (SP)
|
100% |
2512
199.3 IPS |
|
|
Object Detection (HP)
|
100% |
2568
203.7 IPS |
|
|
Object Detection (Q)
|
87% |
3356
269.2 IPS |
|
|
Face Detection (SP)
|
100% |
6512
77.4 IPS |
|
|
Face Detection (HP)
|
100% |
6750
80.2 IPS |
|
|
Face Detection (Q)
|
97% |
10287
122.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6658
51.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
6702
51.6 IPS |
|
|
Depth Estimation (Q)
|
81% |
9755
76.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18401
23.7 IPS |
|
|
Style Transfer (HP)
|
100% |
18214
23.4 IPS |
|
|
Style Transfer (Q)
|
98% |
27071
34.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3592
132.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3672
135.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5096
188.8 IPS |
|
|
Text Classification (SP)
|
100% |
1949
2.60 KIPS |
|
|
Text Classification (HP)
|
100% |
1987
2.65 KIPS |
|
|
Text Classification (Q)
|
91% |
154
207.3 IPS |
|
|
Machine Translation (SP)
|
100% |
2356
40.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2339
40.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2320
40.0 IPS |
