iPhone 13 Pro
Geekbench AI Score
3241
Single Precision Score
5698
Half Precision Score
4648
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | April 04 2026 05:58 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.7.7 |
| 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% |
1332
247.6 IPS |
|
|
Image Classification (HP)
|
100% |
2355
437.9 IPS |
|
|
Image Classification (Q)
|
96% |
1632
304.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1289
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1977
32.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2395
38.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6315
7.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
14565
17.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
12230
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1414
112.2 IPS |
|
|
Object Detection (HP)
|
97% |
2715
216.1 IPS |
|
|
Object Detection (Q)
|
94% |
1921
153.1 IPS |
|
|
Face Detection (SP)
|
100% |
2683
31.9 IPS |
|
|
Face Detection (HP)
|
100% |
5608
66.6 IPS |
|
|
Face Detection (Q)
|
100% |
3154
37.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5360
41.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
10535
81.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7347
57.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17224
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
27613
35.5 IPS |
|
|
Style Transfer (Q)
|
96% |
22551
29.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3773
139.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4473
165.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3616
133.5 IPS |
|
|
Text Classification (SP)
|
100% |
2492
3.33 KIPS |
|
|
Text Classification (HP)
|
100% |
4368
5.83 KIPS |
|
|
Text Classification (Q)
|
93% |
4348
5.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
3587
61.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6153
106.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6249
108.0 IPS |
