HP HP EliteBook X G1a 14 inch Notebook Next Gen AI PC
Geekbench AI Score
4548
Single Precision Score
4555
Half Precision Score
12287
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | Ray5 |
| Upload Date | April 27 2025 10:27 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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% |
2623
487.8 IPS |
|
|
Image Classification (HP)
|
100% |
2640
491.0 IPS |
|
|
Image Classification (Q)
|
100% |
8080
1.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3241
52.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3215
52.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
8820
143.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5841
6.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
5856
6.83 IPS |
|
|
Pose Estimation (Q)
|
98% |
22887
26.8 IPS |
|
|
Object Detection (SP)
|
100% |
2503
198.5 IPS |
|
|
Object Detection (HP)
|
100% |
2489
197.4 IPS |
|
|
Object Detection (Q)
|
88% |
8111
650.2 IPS |
|
|
Face Detection (SP)
|
100% |
7180
85.3 IPS |
|
|
Face Detection (HP)
|
100% |
7178
85.3 IPS |
|
|
Face Detection (Q)
|
100% |
20245
240.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7258
55.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
7237
55.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
20413
158.9 IPS |
|
|
Style Transfer (SP)
|
100% |
15801
20.3 IPS |
|
|
Style Transfer (HP)
|
100% |
15798
20.3 IPS |
|
|
Style Transfer (Q)
|
98% |
59363
76.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3296
121.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3323
122.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11366
420.9 IPS |
|
|
Text Classification (SP)
|
100% |
2559
3.42 KIPS |
|
|
Text Classification (HP)
|
100% |
2548
3.40 KIPS |
|
|
Text Classification (Q)
|
92% |
3729
5.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
4388
75.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4479
77.1 IPS |
|
|
Machine Translation (Q)
|
100% |
5703
98.2 IPS |
