iPhone 13 Pro
Geekbench AI Score
3136
Single Precision Score
5740
Half Precision Score
4679
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 11 2025 04:11 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1254
233.2 IPS |
|
|
Image Classification (HP)
|
100% |
2416
449.3 IPS |
|
|
Image Classification (Q)
|
96% |
1679
313.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1301
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1993
32.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2443
39.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5931
6.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
14308
16.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
11929
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
1334
105.8 IPS |
|
|
Object Detection (HP)
|
97% |
2714
216.1 IPS |
|
|
Object Detection (Q)
|
94% |
1972
157.2 IPS |
|
|
Face Detection (SP)
|
100% |
2643
31.4 IPS |
|
|
Face Detection (HP)
|
100% |
5593
66.5 IPS |
|
|
Face Detection (Q)
|
100% |
3138
37.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5093
39.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
10552
81.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7424
58.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16787
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
27149
34.9 IPS |
|
|
Style Transfer (Q)
|
96% |
22445
29.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3587
132.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4726
174.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3665
135.3 IPS |
|
|
Text Classification (SP)
|
100% |
2577
3.44 KIPS |
|
|
Text Classification (HP)
|
99% |
4145
5.53 KIPS |
|
|
Text Classification (Q)
|
93% |
4125
5.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
3422
58.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6622
114.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6596
114.0 IPS |
