iPhone 13 Pro
Geekbench AI Score
4009
Single Precision Score
4514
Half Precision Score
4282
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | March 19 2026 08:21 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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 | 5.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1783
331.6 IPS |
|
|
Image Classification (HP)
|
100% |
1646
306.1 IPS |
|
|
Image Classification (Q)
|
96% |
1785
333.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2757
44.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2887
46.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2732
44.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11311
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
12794
14.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
12301
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1993
158.1 IPS |
|
|
Object Detection (HP)
|
100% |
1987
157.6 IPS |
|
|
Object Detection (Q)
|
92% |
1828
145.9 IPS |
|
|
Face Detection (SP)
|
100% |
4901
58.2 IPS |
|
|
Face Detection (HP)
|
100% |
6084
72.3 IPS |
|
|
Face Detection (Q)
|
100% |
4926
58.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8472
65.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
9173
70.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
8471
66.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18862
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
23779
30.6 IPS |
|
|
Style Transfer (Q)
|
96% |
22978
29.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4887
180.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5049
186.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4501
166.2 IPS |
|
|
Text Classification (SP)
|
100% |
2499
3.34 KIPS |
|
|
Text Classification (HP)
|
100% |
4340
5.79 KIPS |
|
|
Text Classification (Q)
|
93% |
4277
5.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
1013
17.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1001
17.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1024
17.7 IPS |
