HP HP Elite Mini 800 G9 Desktop PC
Geekbench ML Score
2950
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 18 2024 12:09 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP Elite Mini 800 G9 Desktop PC |
| Motherboard | HP 8AC3 |
| Power Plan | HP Optimized (Modern Standby) |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14500 |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 10 |
| L1 Data Cache | 48.0 KB x 10 |
| L2 Cache | 1.25 MB x 2 |
| L3 Cache | 24.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1685
315.3 IPS |
|
|
Image Classification (F16)
|
100% |
1702
318.5 IPS |
|
|
Image Classification (I8)
|
99% |
2873
537.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1527
25.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1545
25.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
2233
37.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
5565
6.74 IPS |
|
|
Pose Estimation (F16)
|
100% |
5548
6.72 IPS |
|
|
Pose Estimation (I8)
|
100% |
17698
21.4 IPS |
|
|
Object Detection (F32)
|
100% |
1613
120.4 IPS |
|
|
Object Detection (F16)
|
100% |
1603
119.7 IPS |
|
|
Object Detection (I8)
|
62% |
1618
120.8 IPS |
|
|
Face Detection (F32)
|
100% |
2672
31.8 IPS |
|
|
Face Detection (F16)
|
100% |
2383
28.3 IPS |
|
|
Face Detection (I8)
|
89% |
3154
37.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
6173
47.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
5718
44.3 IPS |
|
|
Depth Estimation (I8)
|
96% |
10548
81.8 IPS |
|
|
Style Transfer (F32)
|
100% |
11752
15.5 IPS |
|
|
Style Transfer (F16)
|
100% |
12492
16.4 IPS |
|
|
Style Transfer (I8)
|
98% |
15036
19.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2667
95.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2694
96.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3927
140.2 IPS |
|
|
Text Classification (F32)
|
100% |
1226
1.76 KIPS |
|
|
Text Classification (F16)
|
100% |
1233
1.77 KIPS |
|
|
Text Classification (I8)
|
98% |
350
502.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1582
29.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1510
27.8 IPS |
|
|
Machine Translation (I8)
|
67% |
2141
39.4 IPS |
