Hewlett-Packard HP Z840 Workstation
Geekbench AI Score
16053
Single Precision Score
21828
Half Precision Score
10569
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | hrichl |
| Upload Date | November 13 2024 02:56 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX A6000 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Hewlett-Packard HP Z840 Workstation |
| Motherboard | Hewlett-Packard 2129 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2698 v4 |
| Topology | 2 Processors, 40 Cores, 80 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 20 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5654
1.05 KIPS |
|
|
Image Classification (HP)
|
99% |
7758
1.45 KIPS |
|
|
Image Classification (Q)
|
100% |
3947
733.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
8803
142.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
10539
170.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
7004
113.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
154347
180.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
269542
314.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
114242
133.8 IPS |
|
|
Object Detection (SP)
|
100% |
7917
628.0 IPS |
|
|
Object Detection (HP)
|
100% |
9699
769.3 IPS |
|
|
Object Detection (Q)
|
89% |
5434
435.1 IPS |
|
|
Face Detection (SP)
|
100% |
16963
201.6 IPS |
|
|
Face Detection (HP)
|
100% |
22757
270.4 IPS |
|
|
Face Detection (Q)
|
97% |
12381
147.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
47427
365.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
73648
567.4 IPS |
|
|
Depth Estimation (Q)
|
76% |
29589
238.5 IPS |
|
|
Style Transfer (SP)
|
100% |
228914
294.3 IPS |
|
|
Style Transfer (HP)
|
100% |
443381
570.0 IPS |
|
|
Style Transfer (Q)
|
98% |
168138
216.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27280
1.01 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
35908
1.33 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16649
616.5 IPS |
|
|
Text Classification (SP)
|
100% |
1622
2.16 KIPS |
|
|
Text Classification (HP)
|
99% |
1929
2.57 KIPS |
|
|
Text Classification (Q)
|
97% |
1045
1.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
2294
39.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2232
38.4 IPS |
|
|
Machine Translation (Q)
|
60% |
946
21.1 IPS |
