iPhone 13 Pro
Geekbench AI Score
3156
Single Precision Score
5757
Half Precision Score
4699
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 23 2025 11:16 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1259
234.2 IPS |
|
|
Image Classification (HP)
|
100% |
2408
447.7 IPS |
|
|
Image Classification (Q)
|
96% |
1676
313.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1266
20.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1967
31.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2457
39.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6117
7.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
14521
16.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
12451
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1336
106.0 IPS |
|
|
Object Detection (HP)
|
97% |
2751
219.0 IPS |
|
|
Object Detection (Q)
|
94% |
1891
150.7 IPS |
|
|
Face Detection (SP)
|
100% |
2605
31.0 IPS |
|
|
Face Detection (HP)
|
100% |
5619
66.8 IPS |
|
|
Face Detection (Q)
|
100% |
3182
37.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5144
39.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10502
81.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7448
58.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17079
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
27505
35.4 IPS |
|
|
Style Transfer (Q)
|
96% |
22715
29.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3637
134.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4738
174.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3688
136.2 IPS |
|
|
Text Classification (SP)
|
100% |
2596
3.47 KIPS |
|
|
Text Classification (HP)
|
99% |
4170
5.57 KIPS |
|
|
Text Classification (Q)
|
93% |
4125
5.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
3484
60.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6596
114.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6624
114.5 IPS |
