iPhone 13 Pro
Geekbench AI Score
3033
Single Precision Score
19325
Half Precision Score
22088
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 27 2026 03:31 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| 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 | 5.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1250
232.5 IPS |
|
|
Image Classification (HP)
|
100% |
7485
1.39 KIPS |
|
|
Image Classification (Q)
|
96% |
10367
1.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1241
20.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
12712
206.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
14857
240.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4793
5.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
78984
92.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
85799
100.6 IPS |
|
|
Object Detection (SP)
|
100% |
1313
104.1 IPS |
|
|
Object Detection (HP)
|
99% |
11073
880.9 IPS |
|
|
Object Detection (Q)
|
91% |
11818
944.3 IPS |
|
|
Face Detection (SP)
|
100% |
2633
31.3 IPS |
|
|
Face Detection (HP)
|
100% |
26443
314.2 IPS |
|
|
Face Detection (Q)
|
100% |
36986
439.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5117
39.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
56924
438.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
70056
547.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16070
20.7 IPS |
|
|
Style Transfer (HP)
|
100% |
149930
192.7 IPS |
|
|
Style Transfer (Q)
|
96% |
141275
182.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3575
132.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27135
1.00 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28744
1.06 KIPS |
|
|
Text Classification (SP)
|
100% |
2557
3.41 KIPS |
|
|
Text Classification (HP)
|
100% |
2342
3.13 KIPS |
|
|
Text Classification (Q)
|
93% |
2450
3.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3420
58.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6089
104.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6867
118.7 IPS |
