iPhone 13 Pro
Geekbench AI Score
3075
Single Precision Score
5729
Half Precision Score
4645
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 14 2026 04:34 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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 | 5.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1255
233.3 IPS |
|
|
Image Classification (HP)
|
100% |
2422
450.4 IPS |
|
|
Image Classification (Q)
|
96% |
1674
312.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1255
20.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1965
31.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2453
39.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5713
6.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
13695
16.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
11716
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
1286
102.0 IPS |
|
|
Object Detection (HP)
|
97% |
2723
216.8 IPS |
|
|
Object Detection (Q)
|
94% |
1924
153.4 IPS |
|
|
Face Detection (SP)
|
100% |
2592
30.8 IPS |
|
|
Face Detection (HP)
|
100% |
5571
66.2 IPS |
|
|
Face Detection (Q)
|
100% |
3128
37.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5038
38.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
10578
81.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7057
55.2 IPS |
|
|
Style Transfer (SP)
|
100% |
15985
20.5 IPS |
|
|
Style Transfer (HP)
|
100% |
26945
34.6 IPS |
|
|
Style Transfer (Q)
|
96% |
22430
28.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3608
133.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4747
175.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3661
135.2 IPS |
|
|
Text Classification (SP)
|
100% |
2573
3.43 KIPS |
|
|
Text Classification (HP)
|
99% |
4266
5.69 KIPS |
|
|
Text Classification (Q)
|
93% |
4250
5.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
3373
58.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6677
115.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6558
113.3 IPS |
