iPhone 13 Pro
Geekbench AI Score
3266
Single Precision Score
5762
Half Precision Score
4670
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 12 2025 01:00 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.7.2 |
| 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 | 5.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1351
251.3 IPS |
|
|
Image Classification (HP)
|
100% |
2363
439.5 IPS |
|
|
Image Classification (Q)
|
96% |
1634
305.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1293
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1995
32.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2421
39.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6335
7.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
14627
17.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
12008
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1415
112.3 IPS |
|
|
Object Detection (HP)
|
97% |
2729
217.2 IPS |
|
|
Object Detection (Q)
|
94% |
1946
155.1 IPS |
|
|
Face Detection (SP)
|
100% |
2716
32.3 IPS |
|
|
Face Detection (HP)
|
100% |
5587
66.4 IPS |
|
|
Face Detection (Q)
|
100% |
3183
37.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5383
41.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10540
81.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7339
57.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17618
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
27801
35.7 IPS |
|
|
Style Transfer (Q)
|
96% |
22993
29.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3809
140.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4748
175.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3630
134.0 IPS |
|
|
Text Classification (SP)
|
100% |
2468
3.29 KIPS |
|
|
Text Classification (HP)
|
100% |
4290
5.73 KIPS |
|
|
Text Classification (Q)
|
93% |
4261
5.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
3649
62.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6436
111.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6428
111.1 IPS |
