iPhone 13 Pro
Geekbench AI Score
3089
Single Precision Score
5715
Half Precision Score
4650
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 11 2025 03:37 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1260
234.3 IPS |
|
|
Image Classification (HP)
|
100% |
2404
447.1 IPS |
|
|
Image Classification (Q)
|
96% |
1666
311.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1256
20.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1953
31.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2429
39.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5736
6.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
14005
16.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
11797
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
1296
102.8 IPS |
|
|
Object Detection (HP)
|
97% |
2719
216.4 IPS |
|
|
Object Detection (Q)
|
94% |
1960
156.2 IPS |
|
|
Face Detection (SP)
|
100% |
2599
30.9 IPS |
|
|
Face Detection (HP)
|
100% |
5647
67.1 IPS |
|
|
Face Detection (Q)
|
100% |
3122
37.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5082
39.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
10619
82.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7380
57.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16442
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
26657
34.3 IPS |
|
|
Style Transfer (Q)
|
96% |
22012
28.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3573
132.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4725
174.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3655
135.0 IPS |
|
|
Text Classification (SP)
|
100% |
2551
3.40 KIPS |
|
|
Text Classification (HP)
|
99% |
4188
5.59 KIPS |
|
|
Text Classification (Q)
|
93% |
4166
5.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
3397
58.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6573
113.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6553
113.2 IPS |
