iPhone 13 Pro
Geekbench AI Score
4069
Single Precision Score
4513
Half Precision Score
4259
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | August 05 2025 10:37 PM |
| Views | 12 |
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% |
1747
324.8 IPS |
|
|
Image Classification (HP)
|
100% |
1629
302.9 IPS |
|
|
Image Classification (Q)
|
96% |
1587
296.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2833
45.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2915
47.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2824
45.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11372
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
12729
14.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
12363
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1942
154.1 IPS |
|
|
Object Detection (HP)
|
100% |
1969
156.2 IPS |
|
|
Object Detection (Q)
|
92% |
1837
146.7 IPS |
|
|
Face Detection (SP)
|
100% |
4947
58.8 IPS |
|
|
Face Detection (HP)
|
100% |
6127
72.8 IPS |
|
|
Face Detection (Q)
|
100% |
4940
58.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8526
65.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
9189
70.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
8453
66.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18712
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
23343
30.0 IPS |
|
|
Style Transfer (Q)
|
96% |
23012
29.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5051
186.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4994
184.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4464
164.8 IPS |
|
|
Text Classification (SP)
|
100% |
2605
3.48 KIPS |
|
|
Text Classification (HP)
|
99% |
4176
5.57 KIPS |
|
|
Text Classification (Q)
|
93% |
4115
5.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
1098
18.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1075
18.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1093
18.9 IPS |
