iPhone 13 Pro
Geekbench AI Score
3159
Single Precision Score
5782
Half Precision Score
4712
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 07 2025 07:10 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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 | 5.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1266
235.4 IPS |
|
|
Image Classification (HP)
|
100% |
2414
448.9 IPS |
|
|
Image Classification (Q)
|
96% |
1677
313.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1264
20.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1963
31.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2464
39.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6050
7.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
14502
16.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
12139
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1344
106.6 IPS |
|
|
Object Detection (HP)
|
97% |
2763
220.0 IPS |
|
|
Object Detection (Q)
|
94% |
1977
157.6 IPS |
|
|
Face Detection (SP)
|
100% |
2630
31.2 IPS |
|
|
Face Detection (HP)
|
100% |
5700
67.7 IPS |
|
|
Face Detection (Q)
|
100% |
3229
38.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5212
40.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
10609
82.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7502
58.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17153
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
27706
35.6 IPS |
|
|
Style Transfer (Q)
|
96% |
22854
29.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3623
133.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4753
175.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3691
136.3 IPS |
|
|
Text Classification (SP)
|
100% |
2586
3.45 KIPS |
|
|
Text Classification (HP)
|
99% |
4084
5.45 KIPS |
|
|
Text Classification (Q)
|
93% |
4048
5.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3459
59.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6763
116.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6582
113.7 IPS |
