iPhone 13 Pro
Geekbench AI Score
3960
Single Precision Score
4500
Half Precision Score
4272
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | September 02 2025 07:44 PM |
| Views | 6 |
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% |
1612
299.7 IPS |
|
|
Image Classification (HP)
|
100% |
1512
281.2 IPS |
|
|
Image Classification (Q)
|
96% |
1736
324.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2825
45.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3010
48.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2862
46.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11337
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
12843
15.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
12454
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1932
153.2 IPS |
|
|
Object Detection (HP)
|
100% |
2007
159.2 IPS |
|
|
Object Detection (Q)
|
92% |
1843
147.1 IPS |
|
|
Face Detection (SP)
|
100% |
4874
57.9 IPS |
|
|
Face Detection (HP)
|
100% |
6163
73.2 IPS |
|
|
Face Detection (Q)
|
100% |
4982
59.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8611
66.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
9358
72.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
8612
67.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18800
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
23742
30.5 IPS |
|
|
Style Transfer (Q)
|
96% |
21328
27.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4376
161.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4829
178.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4550
168.0 IPS |
|
|
Text Classification (SP)
|
100% |
2544
3.40 KIPS |
|
|
Text Classification (HP)
|
99% |
4261
5.69 KIPS |
|
|
Text Classification (Q)
|
93% |
4183
5.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
1083
18.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1032
17.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1020
17.6 IPS |
