iPhone 13 Pro
Geekbench AI Score
4007
Single Precision Score
4505
Half Precision Score
4233
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | March 06 2026 07:48 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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 | 5.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1686
313.6 IPS |
|
|
Image Classification (HP)
|
100% |
1523
283.3 IPS |
|
|
Image Classification (Q)
|
96% |
1661
310.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2826
45.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2994
48.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2855
46.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11218
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
12720
14.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
12294
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1966
155.9 IPS |
|
|
Object Detection (HP)
|
100% |
1993
158.1 IPS |
|
|
Object Detection (Q)
|
92% |
1792
143.0 IPS |
|
|
Face Detection (SP)
|
100% |
4941
58.7 IPS |
|
|
Face Detection (HP)
|
100% |
6457
76.7 IPS |
|
|
Face Detection (Q)
|
100% |
4986
59.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8676
66.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
9377
72.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
8410
65.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18707
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
23368
30.0 IPS |
|
|
Style Transfer (Q)
|
96% |
22825
29.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4852
179.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4592
169.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4421
163.2 IPS |
|
|
Text Classification (SP)
|
100% |
2474
3.30 KIPS |
|
|
Text Classification (HP)
|
100% |
4359
5.82 KIPS |
|
|
Text Classification (Q)
|
93% |
4256
5.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
1057
18.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1053
18.1 IPS |
|
|
Machine Translation (Q)
|
98% |
984
17.0 IPS |
