iPhone 13 Pro
Geekbench AI Score
3991
Single Precision Score
4513
Half Precision Score
4238
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 26 2025 02:30 AM |
| Views | 1 |
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% |
1690
314.2 IPS |
|
|
Image Classification (HP)
|
100% |
1644
305.7 IPS |
|
|
Image Classification (Q)
|
96% |
1551
289.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2842
46.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2927
47.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2782
45.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11336
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
12725
14.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
12376
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1970
156.2 IPS |
|
|
Object Detection (HP)
|
100% |
1945
154.3 IPS |
|
|
Object Detection (Q)
|
92% |
1826
145.8 IPS |
|
|
Face Detection (SP)
|
100% |
4671
55.5 IPS |
|
|
Face Detection (HP)
|
100% |
6153
73.1 IPS |
|
|
Face Detection (Q)
|
100% |
4935
58.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8510
65.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
9276
71.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
8519
66.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18769
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
23372
30.0 IPS |
|
|
Style Transfer (Q)
|
96% |
23017
29.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4916
181.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5047
186.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4485
165.6 IPS |
|
|
Text Classification (SP)
|
100% |
2587
3.45 KIPS |
|
|
Text Classification (HP)
|
99% |
4166
5.56 KIPS |
|
|
Text Classification (Q)
|
93% |
4178
5.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
1009
17.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1050
18.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1058
18.3 IPS |
