AMD RYZEN AI MAX+ PRO 395 - ONNX HP HP ZBook Ultra G1a 14 inch Mobile Workstation PC
Geekbench AI Score
5790
Single Precision Score
2162
Half Precision Score
10001
Quantized Score
Geekbench AI 1.5.0 Pro for Windows AVX2
Result Information
| User | Tycho |
| Upload Date | October 17 2025 01:01 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD RYZEN AI MAX+ PRO 395 w/ Radeon 8060S |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP ZBook Ultra G1a 14 inch Mobile Workstation PC |
| Motherboard | HP 8D01 |
| Power Plan | Balanced |
| 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 | 3.00 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4860
903.8 IPS |
|
|
Image Classification (HP)
|
100% |
735
136.8 IPS |
|
|
Image Classification (Q)
|
99% |
9998
1.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1299
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1022
16.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
14311
232.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
13839
16.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
10501
12.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
44279
51.9 IPS |
|
|
Object Detection (SP)
|
100% |
4749
376.7 IPS |
|
|
Object Detection (HP)
|
100% |
830
65.8 IPS |
|
|
Object Detection (Q)
|
86% |
11576
930.4 IPS |
|
|
Face Detection (SP)
|
100% |
11070
131.5 IPS |
|
|
Face Detection (HP)
|
100% |
1823
21.7 IPS |
|
|
Face Detection (Q)
|
97% |
12230
145.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
14829
114.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2726
21.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
10576
84.4 IPS |
|
|
Style Transfer (SP)
|
100% |
29175
37.5 IPS |
|
|
Style Transfer (HP)
|
100% |
23789
30.6 IPS |
|
|
Style Transfer (Q)
|
98% |
46650
60.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3578
132.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3096
114.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3828
141.8 IPS |
|
|
Text Classification (SP)
|
100% |
2045
2.73 KIPS |
|
|
Text Classification (HP)
|
100% |
875
1.17 KIPS |
|
|
Text Classification (Q)
|
97% |
1547
2.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
2916
50.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1066
18.4 IPS |
|
|
Machine Translation (Q)
|
65% |
3822
76.8 IPS |
