HP HP ZBook Ultra G1a 14 inch Mobile Workstation PC
Geekbench AI Score
19252
Single Precision Score
23911
Half Precision Score
15605
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 12 2025 12:39 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 8060S Graphics |
| 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 | HP Optimized (Modern Standby) |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9249
1.72 KIPS |
|
|
Image Classification (HP)
|
100% |
10120
1.88 KIPS |
|
|
Image Classification (Q)
|
100% |
8490
1.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16301
264.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
13559
219.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
13846
225.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
84316
98.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
132523
154.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
75060
87.9 IPS |
|
|
Object Detection (SP)
|
100% |
6315
500.9 IPS |
|
|
Object Detection (HP)
|
100% |
9570
759.1 IPS |
|
|
Object Detection (Q)
|
87% |
6027
484.1 IPS |
|
|
Face Detection (SP)
|
100% |
24982
296.8 IPS |
|
|
Face Detection (HP)
|
100% |
34740
412.8 IPS |
|
|
Face Detection (Q)
|
97% |
20986
250.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
41304
318.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
50290
387.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
35284
283.0 IPS |
|
|
Style Transfer (SP)
|
100% |
150644
193.7 IPS |
|
|
Style Transfer (HP)
|
100% |
235369
302.6 IPS |
|
|
Style Transfer (Q)
|
98% |
135179
174.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28000
1.03 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
35572
1.31 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
22564
835.5 IPS |
|
|
Text Classification (SP)
|
100% |
3397
4.53 KIPS |
|
|
Text Classification (HP)
|
100% |
3631
4.85 KIPS |
|
|
Text Classification (Q)
|
97% |
2471
3.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
5896
101.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6612
113.9 IPS |
|
|
Machine Translation (Q)
|
70% |
2887
54.2 IPS |
