Default COM-1819
Geekbench AI Score
24715
Single Precision Score
36753
Half Precision Score
19649
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | March 25 2025 09:45 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX 5000 Ada Generation Embedded GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Default COM-1819 |
| Motherboard | Default COM-1819 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) i7-9850HL CPU @ 1.90GHz |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 1.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9943
1.85 KIPS |
|
|
Image Classification (HP)
|
99% |
13683
2.55 KIPS |
|
|
Image Classification (Q)
|
100% |
8831
1.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15538
251.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
19696
319.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
14342
233.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
161173
188.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
376687
439.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
138689
162.5 IPS |
|
|
Object Detection (SP)
|
100% |
12467
988.9 IPS |
|
|
Object Detection (HP)
|
100% |
17362
1.38 KIPS |
|
|
Object Detection (Q)
|
85% |
10966
882.2 IPS |
|
|
Face Detection (SP)
|
100% |
32797
389.7 IPS |
|
|
Face Detection (HP)
|
100% |
43098
512.1 IPS |
|
|
Face Detection (Q)
|
97% |
29137
347.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
63761
491.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
121108
935.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
50352
402.1 IPS |
|
|
Style Transfer (SP)
|
100% |
265482
341.3 IPS |
|
|
Style Transfer (HP)
|
100% |
611926
786.6 IPS |
|
|
Style Transfer (Q)
|
98% |
239631
309.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
41502
1.53 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
56715
2.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32252
1.19 KIPS |
|
|
Text Classification (SP)
|
100% |
2893
3.86 KIPS |
|
|
Text Classification (HP)
|
99% |
3466
4.63 KIPS |
|
|
Text Classification (Q)
|
97% |
1822
2.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
4111
70.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4064
70.0 IPS |
|
|
Machine Translation (Q)
|
70% |
2156
40.4 IPS |
