iPhone 13 Pro
Geekbench AI Score
3161
Single Precision Score
5546
Half Precision Score
4463
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 12:42 PM |
| Views | 1 |
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% |
1354
251.7 IPS |
|
|
Image Classification (HP)
|
100% |
2361
439.1 IPS |
|
|
Image Classification (Q)
|
96% |
1618
302.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1256
20.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1944
31.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2403
38.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5760
6.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
13136
15.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
11128
13.0 IPS |
|
|
Object Detection (SP)
|
100% |
1387
110.0 IPS |
|
|
Object Detection (HP)
|
97% |
2680
213.4 IPS |
|
|
Object Detection (Q)
|
94% |
1891
150.7 IPS |
|
|
Face Detection (SP)
|
100% |
2655
31.6 IPS |
|
|
Face Detection (HP)
|
100% |
5516
65.5 IPS |
|
|
Face Detection (Q)
|
100% |
3057
36.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5280
40.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10816
83.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7364
57.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16892
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
26302
33.8 IPS |
|
|
Style Transfer (Q)
|
96% |
21693
28.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3802
140.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4677
172.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3460
127.8 IPS |
|
|
Text Classification (SP)
|
100% |
2419
3.23 KIPS |
|
|
Text Classification (HP)
|
100% |
4120
5.50 KIPS |
|
|
Text Classification (Q)
|
93% |
4060
5.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3370
58.0 IPS |
|
|
Machine Translation (HP)
|
98% |
5636
97.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5593
96.7 IPS |
