HP HP EliteBook X G1a 14 inch Notebook Next Gen AI PC
Geekbench AI Score
1915
Single Precision Score
1939
Half Precision Score
1594
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | Ray5 |
| Upload Date | April 27 2025 10:21 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen AI 7 PRO 360 w/ Radeon 880M |
| System Information | |
|---|---|
| Operating System | Fedora Linux 42 (Workstation Edition) |
| Model | HP HP EliteBook X G1a 14 inch Notebook Next Gen AI PC |
| Motherboard | HP 8D08 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 7 PRO 360 w/ Radeon 880M |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 36 Stepping 0 |
| Base Frequency | 5.09 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 30.62 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1157
215.2 IPS |
|
|
Image Classification (HP)
|
100% |
1148
213.5 IPS |
|
|
Image Classification (Q)
|
99% |
1122
209.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1917
31.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1935
31.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1186
19.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2696
3.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
2660
3.10 IPS |
|
|
Pose Estimation (Q)
|
96% |
3141
3.68 IPS |
|
|
Object Detection (SP)
|
100% |
1116
88.5 IPS |
|
|
Object Detection (HP)
|
100% |
1118
88.7 IPS |
|
|
Object Detection (Q)
|
85% |
1007
81.1 IPS |
|
|
Face Detection (SP)
|
100% |
2606
31.0 IPS |
|
|
Face Detection (HP)
|
100% |
2642
31.4 IPS |
|
|
Face Detection (Q)
|
97% |
2452
29.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2363
18.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2352
18.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
2082
19.5 IPS |
|
|
Style Transfer (SP)
|
100% |
3759
4.83 IPS |
|
|
Style Transfer (HP)
|
100% |
3743
4.81 IPS |
|
|
Style Transfer (Q)
|
98% |
5871
7.57 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1229
45.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1248
46.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1582
58.6 IPS |
|
|
Text Classification (SP)
|
100% |
1353
1.81 KIPS |
|
|
Text Classification (HP)
|
100% |
1490
1.99 KIPS |
|
|
Text Classification (Q)
|
92% |
767
1.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
2587
44.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2639
45.5 IPS |
|
|
Machine Translation (Q)
|
58% |
695
16.3 IPS |
