iPhone 13 Pro
Geekbench AI Score
3928
Single Precision Score
4413
Half Precision Score
4168
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | September 02 2025 04:24 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1633
303.7 IPS |
|
|
Image Classification (HP)
|
100% |
1431
266.1 IPS |
|
|
Image Classification (Q)
|
96% |
1563
291.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2811
45.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2971
48.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2813
45.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11285
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
12445
14.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
12347
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1875
148.8 IPS |
|
|
Object Detection (HP)
|
100% |
1949
154.6 IPS |
|
|
Object Detection (Q)
|
92% |
1810
144.5 IPS |
|
|
Face Detection (SP)
|
100% |
4825
57.3 IPS |
|
|
Face Detection (HP)
|
100% |
6370
75.7 IPS |
|
|
Face Detection (Q)
|
100% |
4966
59.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8551
65.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
9487
73.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
8319
65.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17995
23.1 IPS |
|
|
Style Transfer (HP)
|
100% |
22871
29.4 IPS |
|
|
Style Transfer (Q)
|
96% |
22723
29.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4744
175.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4848
179.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4305
159.0 IPS |
|
|
Text Classification (SP)
|
100% |
2541
3.39 KIPS |
|
|
Text Classification (HP)
|
99% |
4002
5.34 KIPS |
|
|
Text Classification (Q)
|
93% |
4002
5.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
1008
17.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1014
17.5 IPS |
|
|
Machine Translation (Q)
|
98% |
998
17.2 IPS |
