iPhone 13 Pro
Geekbench AI Score
3360
Single Precision Score
3962
Half Precision Score
3805
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | potatogaming |
| Upload Date | January 20 2026 02:27 PM |
| Views | 2 |
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% |
748
139.0 IPS |
|
|
Image Classification (HP)
|
100% |
1125
209.3 IPS |
|
|
Image Classification (Q)
|
96% |
1002
187.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2810
45.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2964
48.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2820
45.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11265
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
12767
14.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
12301
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1410
111.8 IPS |
|
|
Object Detection (HP)
|
100% |
1411
111.9 IPS |
|
|
Object Detection (Q)
|
92% |
1223
97.7 IPS |
|
|
Face Detection (SP)
|
100% |
4241
50.4 IPS |
|
|
Face Detection (HP)
|
100% |
4760
56.6 IPS |
|
|
Face Detection (Q)
|
100% |
5145
61.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8764
67.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
9620
74.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
8730
68.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18728
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
23240
29.9 IPS |
|
|
Style Transfer (Q)
|
96% |
22365
28.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3793
140.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3535
130.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3584
132.3 IPS |
|
|
Text Classification (SP)
|
100% |
2585
3.45 KIPS |
|
|
Text Classification (HP)
|
99% |
4152
5.54 KIPS |
|
|
Text Classification (Q)
|
93% |
4121
5.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
807
13.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1018
17.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1010
17.4 IPS |
