HP HP ZBook 15 G5
Geekbench AI Score
3177
Single Precision Score
3278
Half Precision Score
2433
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | datamushroom |
| Upload Date | August 27 2025 02:47 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA Quadro P2000 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP ZBook 15 G5 |
| Motherboard | HP 842A |
| Power Plan | HP Optimized (recommended) |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8850H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.59 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
688
128.0 IPS |
|
|
Image Classification (HP)
|
100% |
1270
236.1 IPS |
|
|
Image Classification (Q)
|
99% |
648
120.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2139
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1931
31.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1770
28.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
19318
22.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
10996
12.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
15679
18.4 IPS |
|
|
Object Detection (SP)
|
100% |
1000
79.3 IPS |
|
|
Object Detection (HP)
|
100% |
1633
129.6 IPS |
|
|
Object Detection (Q)
|
83% |
905
73.1 IPS |
|
|
Face Detection (SP)
|
100% |
2026
24.1 IPS |
|
|
Face Detection (HP)
|
100% |
3118
37.0 IPS |
|
|
Face Detection (Q)
|
97% |
1824
21.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6720
51.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
6203
47.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
5378
42.9 IPS |
|
|
Style Transfer (SP)
|
100% |
32352
41.6 IPS |
|
|
Style Transfer (HP)
|
100% |
19946
25.6 IPS |
|
|
Style Transfer (Q)
|
98% |
25217
32.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5833
215.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4670
172.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3980
147.4 IPS |
|
|
Text Classification (SP)
|
100% |
750
1.00 KIPS |
|
|
Text Classification (HP)
|
100% |
967
1.29 KIPS |
|
|
Text Classification (Q)
|
97% |
508
680.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1917
33.0 IPS |
|
|
Machine Translation (HP)
|
96% |
1869
32.3 IPS |
|
|
Machine Translation (Q)
|
70% |
895
16.8 IPS |
