iPhone 13 Pro
Geekbench AI Score
4035
Single Precision Score
4504
Half Precision Score
4309
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | NycDriipy |
| Upload Date | August 01 2025 07:00 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1689
314.2 IPS |
|
|
Image Classification (HP)
|
100% |
1355
252.0 IPS |
|
|
Image Classification (Q)
|
96% |
1630
304.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2824
45.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2909
47.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2844
46.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11467
13.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
13034
15.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
12614
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1964
155.8 IPS |
|
|
Object Detection (HP)
|
100% |
2004
159.0 IPS |
|
|
Object Detection (Q)
|
92% |
1857
148.2 IPS |
|
|
Face Detection (SP)
|
100% |
4904
58.3 IPS |
|
|
Face Detection (HP)
|
100% |
6142
73.0 IPS |
|
|
Face Detection (Q)
|
100% |
5074
60.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8531
65.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
9202
70.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
8547
66.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18794
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
23525
30.2 IPS |
|
|
Style Transfer (Q)
|
96% |
23119
29.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4941
182.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5262
194.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4488
165.7 IPS |
|
|
Text Classification (SP)
|
100% |
2597
3.47 KIPS |
|
|
Text Classification (HP)
|
99% |
4127
5.51 KIPS |
|
|
Text Classification (Q)
|
93% |
4111
5.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
1058
18.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1157
19.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1101
19.0 IPS |
