iPhone 13 Pro
Geekbench AI Score
3256
Single Precision Score
5683
Half Precision Score
4610
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | October 07 2024 07:25 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| 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% |
1340
249.3 IPS |
|
|
Image Classification (HP)
|
100% |
2350
437.0 IPS |
|
|
Image Classification (Q)
|
96% |
1629
304.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1307
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1995
32.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2484
40.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6332
7.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
13855
16.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
11750
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
1441
114.3 IPS |
|
|
Object Detection (HP)
|
97% |
2735
217.7 IPS |
|
|
Object Detection (Q)
|
94% |
1940
154.6 IPS |
|
|
Face Detection (SP)
|
100% |
2737
32.5 IPS |
|
|
Face Detection (HP)
|
100% |
5742
68.2 IPS |
|
|
Face Detection (Q)
|
100% |
3250
38.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5432
41.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
11129
86.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7605
59.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17566
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
27050
34.8 IPS |
|
|
Style Transfer (Q)
|
96% |
22607
29.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3940
145.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4726
174.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3515
129.8 IPS |
|
|
Text Classification (SP)
|
100% |
2422
3.23 KIPS |
|
|
Text Classification (HP)
|
100% |
4142
5.53 KIPS |
|
|
Text Classification (Q)
|
93% |
4108
5.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
3370
58.1 IPS |
|
|
Machine Translation (HP)
|
98% |
5849
101.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5827
100.7 IPS |
