HP HP ZBook Firefly 14 inch G11 Mobile Workstation PC
Geekbench AI Score
4903
Single Precision Score
8836
Half Precision Score
13617
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 20 2025 11:39 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP ZBook Firefly 14 inch G11 Mobile Workstation PC |
| Motherboard | HP 8CD1 |
| Power Plan | HP Optimized (Modern Standby) |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3783
703.5 IPS |
|
|
Image Classification (HP)
|
100% |
6339
1.18 KIPS |
|
|
Image Classification (Q)
|
100% |
7514
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2197
35.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
7194
116.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
11968
194.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
16333
19.1 IPS |
|
|
Pose Estimation (HP)
|
99% |
16273
19.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
39028
45.7 IPS |
|
|
Object Detection (SP)
|
100% |
3579
283.9 IPS |
|
|
Object Detection (HP)
|
100% |
6612
524.5 IPS |
|
|
Object Detection (Q)
|
88% |
10038
804.4 IPS |
|
|
Face Detection (SP)
|
100% |
3531
42.0 IPS |
|
|
Face Detection (HP)
|
100% |
10458
124.3 IPS |
|
|
Face Detection (Q)
|
100% |
19725
234.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
12810
98.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
23757
183.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
29078
226.0 IPS |
|
|
Style Transfer (SP)
|
100% |
30451
39.1 IPS |
|
|
Style Transfer (HP)
|
100% |
46790
60.1 IPS |
|
|
Style Transfer (Q)
|
98% |
124056
160.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6106
225.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10908
402.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16955
627.9 IPS |
|
|
Text Classification (SP)
|
71% |
1163
1.68 KIPS |
|
|
Text Classification (HP)
|
71% |
1640
2.37 KIPS |
|
|
Text Classification (Q)
|
92% |
1853
2.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
1691
29.1 IPS |
|
|
Machine Translation (HP)
|
98% |
2845
49.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2784
48.1 IPS |
