Syber L Custom PC - 2025 - w/3090 ASRock Z790-C
Geekbench AI Score
5159
Single Precision Score
1831
Half Precision Score
6908
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | jluhman |
| Upload Date | March 01 2025 12:20 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-13700K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | ASRock Z790-C |
| Motherboard | ASRock Z790-C |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700K |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3963
737.0 IPS |
|
|
Image Classification (HP)
|
100% |
646
120.1 IPS |
|
|
Image Classification (Q)
|
99% |
7222
1.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2226
36.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1131
18.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3376
54.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8824
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
5135
5.99 IPS |
|
|
Pose Estimation (Q)
|
94% |
29395
34.5 IPS |
|
|
Object Detection (SP)
|
100% |
3932
311.9 IPS |
|
|
Object Detection (HP)
|
100% |
816
64.7 IPS |
|
|
Object Detection (Q)
|
86% |
6344
509.8 IPS |
|
|
Face Detection (SP)
|
100% |
10481
124.5 IPS |
|
|
Face Detection (HP)
|
100% |
2013
23.9 IPS |
|
|
Face Detection (Q)
|
97% |
10307
122.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
11566
89.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2544
19.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
18094
144.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21610
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
13125
16.9 IPS |
|
|
Style Transfer (Q)
|
98% |
29381
37.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3687
136.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2489
91.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5240
194.0 IPS |
|
|
Text Classification (SP)
|
100% |
1915
2.56 KIPS |
|
|
Text Classification (HP)
|
100% |
906
1.21 KIPS |
|
|
Text Classification (Q)
|
97% |
576
771.4 IPS |
|
|
Machine Translation (SP)
|
100% |
2362
40.7 IPS |
|
|
Machine Translation (HP)
|
100% |
913
15.7 IPS |
|
|
Machine Translation (Q)
|
65% |
3292
66.1 IPS |
