iPhone 13 Pro
Geekbench AI Score
3236
Single Precision Score
5725
Half Precision Score
4632
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | brkracing |
| Upload Date | November 16 2025 06:36 PM |
| Views | 10 |
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% |
1292
240.3 IPS |
|
|
Image Classification (HP)
|
100% |
2336
434.4 IPS |
|
|
Image Classification (Q)
|
96% |
1611
300.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1273
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1968
31.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2417
39.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6414
7.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
14512
16.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
12172
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1435
113.9 IPS |
|
|
Object Detection (HP)
|
97% |
2711
215.9 IPS |
|
|
Object Detection (Q)
|
94% |
1923
153.3 IPS |
|
|
Face Detection (SP)
|
100% |
2665
31.7 IPS |
|
|
Face Detection (HP)
|
100% |
5574
66.2 IPS |
|
|
Face Detection (Q)
|
100% |
3152
37.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5318
41.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
10437
80.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7292
57.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17126
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
27794
35.7 IPS |
|
|
Style Transfer (Q)
|
96% |
22629
29.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3884
143.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4775
176.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3633
134.1 IPS |
|
|
Text Classification (SP)
|
100% |
2458
3.28 KIPS |
|
|
Text Classification (HP)
|
100% |
4314
5.76 KIPS |
|
|
Text Classification (Q)
|
93% |
4237
5.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
3594
61.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6279
108.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6239
107.8 IPS |
