iPhone 13 Pro
Geekbench AI Score
4345
Single Precision Score
4867
Half Precision Score
4628
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | aIpaca |
| Upload Date | March 19 2026 06:12 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.4 |
| 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% |
1632
303.6 IPS |
|
|
Image Classification (HP)
|
100% |
1631
303.3 IPS |
|
|
Image Classification (Q)
|
94% |
1673
312.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2820
45.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2904
47.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2768
44.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11311
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
12699
14.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
12318
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
2021
160.3 IPS |
|
|
Object Detection (HP)
|
100% |
2054
162.9 IPS |
|
|
Object Detection (Q)
|
91% |
1909
152.6 IPS |
|
|
Face Detection (SP)
|
100% |
5233
62.2 IPS |
|
|
Face Detection (HP)
|
100% |
6410
76.2 IPS |
|
|
Face Detection (Q)
|
100% |
5847
69.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8541
65.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
9231
71.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8676
67.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18959
24.4 IPS |
|
|
Style Transfer (HP)
|
100% |
23812
30.6 IPS |
|
|
Style Transfer (Q)
|
96% |
23175
29.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4866
179.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4986
184.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4424
163.4 IPS |
|
|
Text Classification (SP)
|
99% |
4652
6.21 KIPS |
|
|
Text Classification (HP)
|
99% |
7172
9.57 KIPS |
|
|
Text Classification (Q)
|
92% |
6941
9.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
1190
20.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1200
20.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1147
19.8 IPS |
