HP HP ZBook Firefly 14 inch G11 A Mobile Workstation PC
Geekbench AI Score
3909
Single Precision Score
3954
Half Precision Score
11847
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Udbhav1810 |
| Upload Date | December 10 2025 04:16 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 PRO 8640HS w/ Radeon 760M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP ZBook Firefly 14 inch G11 A Mobile Workstation PC |
| Motherboard | HP 8C6F |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 PRO 8640HS w/ Radeon 760M Graphics |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2332
433.6 IPS |
|
|
Image Classification (HP)
|
100% |
2380
442.6 IPS |
|
|
Image Classification (Q)
|
100% |
7205
1.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2761
44.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2800
45.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
7255
117.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5252
6.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
5251
6.13 IPS |
|
|
Pose Estimation (Q)
|
98% |
22094
25.9 IPS |
|
|
Object Detection (SP)
|
100% |
2165
171.7 IPS |
|
|
Object Detection (HP)
|
100% |
2294
181.9 IPS |
|
|
Object Detection (Q)
|
88% |
7732
619.8 IPS |
|
|
Face Detection (SP)
|
100% |
4390
52.2 IPS |
|
|
Face Detection (HP)
|
100% |
4360
51.8 IPS |
|
|
Face Detection (Q)
|
100% |
17929
213.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6229
48.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
6534
50.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
18664
145.2 IPS |
|
|
Style Transfer (SP)
|
100% |
13715
17.6 IPS |
|
|
Style Transfer (HP)
|
100% |
14107
18.1 IPS |
|
|
Style Transfer (Q)
|
98% |
58811
75.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2821
104.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2839
104.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11881
440.0 IPS |
|
|
Text Classification (SP)
|
100% |
3005
4.01 KIPS |
|
|
Text Classification (HP)
|
100% |
2940
3.92 KIPS |
|
|
Text Classification (Q)
|
92% |
5287
7.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
3585
61.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3476
59.9 IPS |
|
|
Machine Translation (Q)
|
100% |
4937
85.0 IPS |
