iPhone 13 Pro
Geekbench AI Score
3575
Single Precision Score
3764
Half Precision Score
3720
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | potatogaming |
| Upload Date | January 20 2026 01:26 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1274
236.9 IPS |
|
|
Image Classification (HP)
|
100% |
793
147.4 IPS |
|
|
Image Classification (Q)
|
96% |
1020
190.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2818
45.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2878
46.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2703
43.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11338
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
12607
14.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
11778
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
1304
103.4 IPS |
|
|
Object Detection (HP)
|
100% |
1321
104.8 IPS |
|
|
Object Detection (Q)
|
92% |
1281
102.2 IPS |
|
|
Face Detection (SP)
|
100% |
4129
49.1 IPS |
|
|
Face Detection (HP)
|
100% |
4833
57.4 IPS |
|
|
Face Detection (Q)
|
100% |
4890
58.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8278
63.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
9059
69.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
8419
65.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18640
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
23759
30.5 IPS |
|
|
Style Transfer (Q)
|
96% |
23341
30.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4109
151.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3830
141.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3415
126.1 IPS |
|
|
Text Classification (SP)
|
100% |
2582
3.45 KIPS |
|
|
Text Classification (HP)
|
99% |
4198
5.60 KIPS |
|
|
Text Classification (Q)
|
93% |
4160
5.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
952
16.4 IPS |
|
|
Machine Translation (HP)
|
100% |
900
15.5 IPS |
|
|
Machine Translation (Q)
|
98% |
894
15.4 IPS |
