HP HP ZBook 15 G6
Geekbench AI Score
5986
Single Precision Score
5215
Half Precision Score
4380
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | jvinkovic |
| Upload Date | August 29 2025 10:45 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA Quadro T2000 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP ZBook 15 G6 |
| Motherboard | HP 860F |
| Power Plan | Balansirano |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9850H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 2.59 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2270
422.1 IPS |
|
|
Image Classification (HP)
|
100% |
2260
420.3 IPS |
|
|
Image Classification (Q)
|
99% |
1929
359.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4125
66.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3962
64.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3212
52.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
26090
30.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17494
20.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
22061
25.8 IPS |
|
|
Object Detection (SP)
|
100% |
3026
240.0 IPS |
|
|
Object Detection (HP)
|
100% |
3060
242.7 IPS |
|
|
Object Detection (Q)
|
83% |
2410
194.7 IPS |
|
|
Face Detection (SP)
|
100% |
6000
71.3 IPS |
|
|
Face Detection (HP)
|
100% |
6024
71.6 IPS |
|
|
Face Detection (Q)
|
97% |
4966
59.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
15253
117.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
12748
98.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
11244
89.8 IPS |
|
|
Style Transfer (SP)
|
100% |
48604
62.5 IPS |
|
|
Style Transfer (HP)
|
100% |
34338
44.1 IPS |
|
|
Style Transfer (Q)
|
98% |
38927
50.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7546
278.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6994
258.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5344
197.9 IPS |
|
|
Text Classification (SP)
|
100% |
1093
1.46 KIPS |
|
|
Text Classification (HP)
|
100% |
753
1.01 KIPS |
|
|
Text Classification (Q)
|
97% |
710
950.6 IPS |
|
|
Machine Translation (SP)
|
100% |
2180
37.5 IPS |
|
|
Machine Translation (HP)
|
98% |
2238
38.7 IPS |
|
|
Machine Translation (Q)
|
70% |
958
18.0 IPS |
