HP HP ZBook Ultra G1a 14 inch Mobile Workstation PC
Geekbench AI Score
2665
Single Precision Score
2655
Half Precision Score
2287
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | darp |
| Upload Date | May 26 2025 07:05 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD RYZEN AI MAX+ PRO 395 w/ Radeon 8060S |
| System Information | |
|---|---|
| Operating System | openSUSE Tumbleweed |
| Model | HP HP ZBook Ultra G1a 14 inch Mobile Workstation PC |
| Motherboard | HP 8D01 |
| CPU Information | |
|---|---|
| Name | AMD RYZEN AI MAX+ PRO 395 w/ Radeon 8060S |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 112 Stepping 0 |
| Base Frequency | 5.19 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.07 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1623
301.9 IPS |
|
|
Image Classification (HP)
|
100% |
1681
312.6 IPS |
|
|
Image Classification (Q)
|
99% |
1672
311.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2937
47.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2844
46.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1500
24.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3916
4.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
3897
4.55 IPS |
|
|
Pose Estimation (Q)
|
96% |
5566
6.52 IPS |
|
|
Object Detection (SP)
|
100% |
1883
149.4 IPS |
|
|
Object Detection (HP)
|
100% |
1947
154.5 IPS |
|
|
Object Detection (Q)
|
85% |
1975
159.0 IPS |
|
|
Face Detection (SP)
|
100% |
3308
39.3 IPS |
|
|
Face Detection (HP)
|
100% |
3326
39.5 IPS |
|
|
Face Detection (Q)
|
97% |
3378
40.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3090
23.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3041
23.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
2797
26.2 IPS |
|
|
Style Transfer (SP)
|
100% |
5225
6.72 IPS |
|
|
Style Transfer (HP)
|
100% |
5236
6.73 IPS |
|
|
Style Transfer (Q)
|
98% |
9008
11.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1831
67.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1816
67.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2411
89.3 IPS |
|
|
Text Classification (SP)
|
100% |
1549
2.07 KIPS |
|
|
Text Classification (HP)
|
100% |
1462
1.95 KIPS |
|
|
Text Classification (Q)
|
92% |
871
1.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
3404
58.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3413
58.8 IPS |
|
|
Machine Translation (Q)
|
58% |
796
18.7 IPS |
