iPhone 13 Pro
Geekbench AI Score
2375
Single Precision Score
5274
Half Precision Score
4058
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | October 25 2025 10:16 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
829
154.2 IPS |
|
|
Image Classification (HP)
|
100% |
2177
404.9 IPS |
|
|
Image Classification (Q)
|
96% |
1567
292.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
937
15.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1622
26.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1708
27.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2586
3.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
9530
11.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
7647
8.96 IPS |
|
|
Object Detection (SP)
|
100% |
1218
96.6 IPS |
|
|
Object Detection (HP)
|
97% |
2594
206.5 IPS |
|
|
Object Detection (Q)
|
94% |
1866
148.7 IPS |
|
|
Face Detection (SP)
|
100% |
2296
27.3 IPS |
|
|
Face Detection (HP)
|
100% |
5240
62.3 IPS |
|
|
Face Detection (Q)
|
100% |
2296
27.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2463
19.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
9996
77.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
6665
52.1 IPS |
|
|
Style Transfer (SP)
|
100% |
13697
17.6 IPS |
|
|
Style Transfer (HP)
|
100% |
25608
32.9 IPS |
|
|
Style Transfer (Q)
|
96% |
19848
25.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3470
128.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4970
183.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3640
134.4 IPS |
|
|
Text Classification (SP)
|
100% |
2617
3.49 KIPS |
|
|
Text Classification (HP)
|
99% |
4427
5.91 KIPS |
|
|
Text Classification (Q)
|
93% |
4413
5.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
3324
57.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6465
111.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6514
112.6 IPS |
