iPhone 13 Pro
Geekbench AI Score
3213
Single Precision Score
5704
Half Precision Score
4595
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | September 02 2025 08:19 AM |
| Views | 4 |
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% |
1349
250.9 IPS |
|
|
Image Classification (HP)
|
100% |
2371
441.0 IPS |
|
|
Image Classification (Q)
|
96% |
1655
309.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1268
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1942
31.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2343
38.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5933
6.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
13761
16.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
10593
12.4 IPS |
|
|
Object Detection (SP)
|
100% |
1426
113.1 IPS |
|
|
Object Detection (HP)
|
97% |
2732
217.5 IPS |
|
|
Object Detection (Q)
|
94% |
1955
155.8 IPS |
|
|
Face Detection (SP)
|
100% |
2663
31.6 IPS |
|
|
Face Detection (HP)
|
100% |
5587
66.4 IPS |
|
|
Face Detection (Q)
|
100% |
3122
37.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5285
40.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10364
80.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7329
57.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16244
20.9 IPS |
|
|
Style Transfer (HP)
|
100% |
27792
35.7 IPS |
|
|
Style Transfer (Q)
|
96% |
22870
29.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3857
142.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4785
176.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3685
136.1 IPS |
|
|
Text Classification (SP)
|
100% |
2582
3.45 KIPS |
|
|
Text Classification (HP)
|
99% |
4196
5.60 KIPS |
|
|
Text Classification (Q)
|
93% |
4219
5.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
3561
61.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6523
112.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6427
111.1 IPS |
