iPhone 13 Pro
Geekbench AI Score
3176
Single Precision Score
5549
Half Precision Score
4476
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | October 07 2024 07:38 PM |
| Views | 1 |
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% |
1351
251.3 IPS |
|
|
Image Classification (HP)
|
100% |
2378
442.2 IPS |
|
|
Image Classification (Q)
|
96% |
1625
303.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1318
21.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2008
32.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2467
40.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5319
6.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
11748
13.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
10176
11.9 IPS |
|
|
Object Detection (SP)
|
100% |
1438
114.1 IPS |
|
|
Object Detection (HP)
|
97% |
2733
217.6 IPS |
|
|
Object Detection (Q)
|
94% |
1931
153.9 IPS |
|
|
Face Detection (SP)
|
100% |
2702
32.1 IPS |
|
|
Face Detection (HP)
|
100% |
5632
66.9 IPS |
|
|
Face Detection (Q)
|
100% |
3157
37.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5416
41.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10978
84.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7437
58.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16344
21.0 IPS |
|
|
Style Transfer (HP)
|
100% |
26532
34.1 IPS |
|
|
Style Transfer (Q)
|
96% |
21693
28.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3963
146.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4725
174.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3506
129.5 IPS |
|
|
Text Classification (SP)
|
100% |
2435
3.25 KIPS |
|
|
Text Classification (HP)
|
100% |
4165
5.56 KIPS |
|
|
Text Classification (Q)
|
93% |
4108
5.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
3332
57.4 IPS |
|
|
Machine Translation (HP)
|
98% |
5600
96.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5586
96.5 IPS |
