HP HP ZBook X G1i 16 inch Mobile Workstation PC
Geekbench AI Score
7939
Single Precision Score
19320
Half Precision Score
26393
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | IMaT_UoA |
| Upload Date | December 01 2025 02:50 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | HP HP ZBook X G1i 16 inch Mobile Workstation PC |
| Motherboard | HP 8E1D |
| Power Plan | UoA-Power Plan-Peak-15 min sleep |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5340
993.1 IPS |
|
|
Image Classification (HP)
|
100% |
9947
1.85 KIPS |
|
|
Image Classification (Q)
|
100% |
14407
2.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4910
79.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
14869
241.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
18604
301.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
21376
24.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
88220
102.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
175487
205.5 IPS |
|
|
Object Detection (SP)
|
100% |
5508
436.9 IPS |
|
|
Object Detection (HP)
|
100% |
11561
917.1 IPS |
|
|
Object Detection (Q)
|
88% |
15330
1.23 KIPS |
|
|
Face Detection (SP)
|
100% |
6688
79.5 IPS |
|
|
Face Detection (HP)
|
100% |
16713
198.6 IPS |
|
|
Face Detection (Q)
|
100% |
29758
353.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
17383
133.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
42145
324.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
58878
457.7 IPS |
|
|
Style Transfer (SP)
|
100% |
47900
61.6 IPS |
|
|
Style Transfer (HP)
|
100% |
133768
172.0 IPS |
|
|
Style Transfer (Q)
|
98% |
249538
321.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8592
317.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24488
904.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
34649
1.28 KIPS |
|
|
Text Classification (SP)
|
100% |
2929
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
4310
5.75 KIPS |
|
|
Text Classification (Q)
|
92% |
3125
4.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
2301
39.6 IPS |
|
|
Machine Translation (HP)
|
98% |
4831
83.5 IPS |
|
|
Machine Translation (Q)
|
100% |
4806
82.8 IPS |
