HP HP ZBook Firefly 14 inch G11 Mobile Workstation PC
Geekbench ML Score
2959
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 29 2024 05:04 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP ZBook Firefly 14 inch G11 Mobile Workstation PC |
| Motherboard | HP 8CD1 |
| Power Plan | HP Optimized (Modern Standby) |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 165H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| L1 Instruction Cache | 64.0 KB x 11 |
| L1 Data Cache | 48.0 KB x 11 |
| L2 Cache | 2.00 MB x 2 |
| L3 Cache | 24.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1504
281.4 IPS |
|
|
Image Classification (F16)
|
100% |
1524
285.2 IPS |
|
|
Image Classification (I8)
|
99% |
2399
448.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1446
24.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1355
22.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
2253
37.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
5608
6.79 IPS |
|
|
Pose Estimation (F16)
|
100% |
5538
6.71 IPS |
|
|
Pose Estimation (I8)
|
100% |
20509
24.8 IPS |
|
|
Object Detection (F32)
|
100% |
1532
114.3 IPS |
|
|
Object Detection (F16)
|
100% |
1523
113.7 IPS |
|
|
Object Detection (I8)
|
62% |
1323
98.8 IPS |
|
|
Face Detection (F32)
|
100% |
3505
41.7 IPS |
|
|
Face Detection (F16)
|
100% |
3453
41.1 IPS |
|
|
Face Detection (I8)
|
89% |
3706
44.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
5971
46.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
5940
46.1 IPS |
|
|
Depth Estimation (I8)
|
96% |
11269
87.4 IPS |
|
|
Style Transfer (F32)
|
100% |
13836
18.2 IPS |
|
|
Style Transfer (F16)
|
100% |
13496
17.8 IPS |
|
|
Style Transfer (I8)
|
98% |
18570
24.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2574
91.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2429
86.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3940
140.7 IPS |
|
|
Text Classification (F32)
|
100% |
972
1.40 KIPS |
|
|
Text Classification (F16)
|
100% |
950
1.37 KIPS |
|
|
Text Classification (I8)
|
98% |
374
538.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1502
27.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1573
28.9 IPS |
|
|
Machine Translation (I8)
|
67% |
2301
42.3 IPS |
