iPhone 13 Pro
Geekbench AI Score
3954
Single Precision Score
4543
Half Precision Score
4255
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | February 17 2026 06:00 PM |
| Views | 5 |
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% |
1581
294.0 IPS |
|
|
Image Classification (HP)
|
100% |
1577
293.3 IPS |
|
|
Image Classification (Q)
|
96% |
1622
302.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2805
45.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2956
47.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2766
44.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11204
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
12806
14.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
12328
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1942
154.0 IPS |
|
|
Object Detection (HP)
|
100% |
1995
158.2 IPS |
|
|
Object Detection (Q)
|
92% |
1773
141.5 IPS |
|
|
Face Detection (SP)
|
100% |
4919
58.4 IPS |
|
|
Face Detection (HP)
|
100% |
6396
76.0 IPS |
|
|
Face Detection (Q)
|
100% |
5011
59.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8670
66.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
9270
71.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
8666
67.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18761
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
23260
29.9 IPS |
|
|
Style Transfer (Q)
|
96% |
22796
29.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4682
172.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4976
183.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4373
161.5 IPS |
|
|
Text Classification (SP)
|
100% |
2464
3.29 KIPS |
|
|
Text Classification (HP)
|
100% |
4361
5.82 KIPS |
|
|
Text Classification (Q)
|
93% |
4319
5.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
1049
18.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1051
18.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1062
18.4 IPS |
