iPhone 13 Pro
Geekbench AI Score
3264
Single Precision Score
5670
Half Precision Score
4900
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | benfoo73 |
| Upload Date | August 17 2024 12:15 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPhone 13 Pro |
| Model ID | iPhone14,2 |
| Motherboard | D63AP |
| CPU Information | |
|---|---|
| Name | Apple A15 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.23 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1357
252.3 IPS |
|
|
Image Classification (HP)
|
100% |
2355
438.0 IPS |
|
|
Image Classification (Q)
|
99% |
2351
438.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1317
21.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2009
32.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
2010
32.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6360
7.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
14039
16.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
11563
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1448
114.8 IPS |
|
|
Object Detection (HP)
|
97% |
2718
216.3 IPS |
|
|
Object Detection (Q)
|
94% |
1929
153.8 IPS |
|
|
Face Detection (SP)
|
100% |
2732
32.5 IPS |
|
|
Face Detection (HP)
|
100% |
5678
67.5 IPS |
|
|
Face Detection (Q)
|
100% |
3166
37.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5443
41.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11044
85.3 IPS |
|
|
Depth Estimation (Q)
|
97% |
11121
86.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17466
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
26873
34.5 IPS |
|
|
Style Transfer (Q)
|
100% |
26738
34.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3882
143.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4742
175.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3454
128.0 IPS |
|
|
Text Classification (SP)
|
100% |
2433
3.25 KIPS |
|
|
Text Classification (HP)
|
100% |
4217
5.63 KIPS |
|
|
Text Classification (Q)
|
93% |
4151
5.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
3404
58.6 IPS |
|
|
Machine Translation (HP)
|
98% |
5650
97.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5614
97.0 IPS |
