HP HP Z6 G5 A Workstation Desktop PC
Geekbench AI Score
22736
Single Precision Score
35888
Half Precision Score
17754
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | rolandrasch |
| Upload Date | January 16 2025 10:45 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX 4000 Ada Generation |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP Z6 G5 A Workstation Desktop PC |
| Motherboard | HP 8B24 |
| Power Plan | HP Optimized (recommended) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen Threadripper PRO 7945WX 12-Cores |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 24 Stepping 1 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8937
1.66 KIPS |
|
|
Image Classification (HP)
|
99% |
14218
2.65 KIPS |
|
|
Image Classification (Q)
|
100% |
7920
1.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16246
263.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
22021
357.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
15057
244.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
121256
141.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
318615
371.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
111007
130.1 IPS |
|
|
Object Detection (SP)
|
100% |
11395
903.9 IPS |
|
|
Object Detection (HP)
|
100% |
18952
1.50 KIPS |
|
|
Object Detection (Q)
|
85% |
9820
790.5 IPS |
|
|
Face Detection (SP)
|
100% |
30779
365.7 IPS |
|
|
Face Detection (HP)
|
100% |
44332
526.8 IPS |
|
|
Face Detection (Q)
|
97% |
26204
312.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
50898
392.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
95973
739.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
41128
328.4 IPS |
|
|
Style Transfer (SP)
|
100% |
210855
271.1 IPS |
|
|
Style Transfer (HP)
|
100% |
513183
659.7 IPS |
|
|
Style Transfer (Q)
|
98% |
187625
241.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
39527
1.46 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
49428
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28420
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
3061
4.09 KIPS |
|
|
Text Classification (HP)
|
99% |
3745
5.00 KIPS |
|
|
Text Classification (Q)
|
97% |
1858
2.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
4605
79.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4639
79.9 IPS |
|
|
Machine Translation (Q)
|
70% |
2242
42.1 IPS |
