GIGABYTE AORUS 15 BSF
Geekbench AI Score
3566
Single Precision Score
1386
Half Precision Score
6016
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 27 2024 12:31 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-13700H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | GIGABYTE AORUS 15 BSF |
| Motherboard | GIGABYTE AORUS 15 BSF |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2785
517.9 IPS |
|
|
Image Classification (HP)
|
100% |
494
91.9 IPS |
|
|
Image Classification (Q)
|
99% |
5116
954.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1639
26.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
885
14.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3106
50.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6013
7.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
3879
4.53 IPS |
|
|
Pose Estimation (Q)
|
94% |
19239
22.6 IPS |
|
|
Object Detection (SP)
|
100% |
2582
204.8 IPS |
|
|
Object Detection (HP)
|
100% |
621
49.2 IPS |
|
|
Object Detection (Q)
|
86% |
5435
436.8 IPS |
|
|
Face Detection (SP)
|
100% |
6739
80.1 IPS |
|
|
Face Detection (HP)
|
100% |
1521
18.1 IPS |
|
|
Face Detection (Q)
|
97% |
8085
96.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7856
60.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2019
15.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
13246
105.7 IPS |
|
|
Style Transfer (SP)
|
100% |
14291
18.4 IPS |
|
|
Style Transfer (HP)
|
100% |
9613
12.4 IPS |
|
|
Style Transfer (Q)
|
98% |
21601
27.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2550
94.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1856
68.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3741
138.5 IPS |
|
|
Text Classification (SP)
|
100% |
1466
1.96 KIPS |
|
|
Text Classification (HP)
|
100% |
677
903.1 IPS |
|
|
Text Classification (Q)
|
97% |
1581
2.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
1661
28.6 IPS |
|
|
Machine Translation (HP)
|
100% |
670
11.5 IPS |
|
|
Machine Translation (Q)
|
65% |
2736
55.0 IPS |
