HP HP Z1 Entry Tower G6
Geekbench AI Score
12116
Single Precision Score
20018
Half Precision Score
8707
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 04 2025 11:45 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2060 SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 (64-bit) |
| Model | HP HP Z1 Entry Tower G6 |
| Motherboard | HP 870B |
| Power Plan | HP Optimized |
| CPU Information | |
|---|---|
| Name | Intel Core i9-10900K |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5092
946.9 IPS |
|
|
Image Classification (HP)
|
100% |
7759
1.44 KIPS |
|
|
Image Classification (Q)
|
99% |
3969
740.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
7780
126.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
10345
167.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
6505
105.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
60291
70.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
198213
231.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
51247
60.0 IPS |
|
|
Object Detection (SP)
|
100% |
6216
493.1 IPS |
|
|
Object Detection (HP)
|
100% |
10286
815.9 IPS |
|
|
Object Detection (Q)
|
84% |
4867
392.5 IPS |
|
|
Face Detection (SP)
|
100% |
15417
183.2 IPS |
|
|
Face Detection (HP)
|
100% |
22733
270.1 IPS |
|
|
Face Detection (Q)
|
97% |
12510
149.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
32046
246.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
55833
430.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
22600
180.6 IPS |
|
|
Style Transfer (SP)
|
100% |
109574
140.9 IPS |
|
|
Style Transfer (HP)
|
100% |
247125
317.7 IPS |
|
|
Style Transfer (Q)
|
98% |
91364
117.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17774
656.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27253
1.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
11358
420.6 IPS |
|
|
Text Classification (SP)
|
100% |
1806
2.41 KIPS |
|
|
Text Classification (HP)
|
99% |
2712
3.62 KIPS |
|
|
Text Classification (Q)
|
97% |
1075
1.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
2643
45.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2724
46.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1234
23.1 IPS |
