iPhone 13 Pro
Geekbench AI Score
3964
Single Precision Score
4421
Half Precision Score
4233
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | Rikyz25 |
| Upload Date | August 23 2025 10:10 AM |
| Views | 30 |
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% |
1707
317.4 IPS |
|
|
Image Classification (HP)
|
100% |
1657
308.2 IPS |
|
|
Image Classification (Q)
|
96% |
1635
305.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2815
45.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2924
47.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2806
45.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11287
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
12719
14.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
12322
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
2013
159.6 IPS |
|
|
Object Detection (HP)
|
100% |
1992
158.0 IPS |
|
|
Object Detection (Q)
|
92% |
1860
148.5 IPS |
|
|
Face Detection (SP)
|
100% |
4783
56.8 IPS |
|
|
Face Detection (HP)
|
100% |
6168
73.3 IPS |
|
|
Face Detection (Q)
|
100% |
4966
59.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8509
65.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
9165
70.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
8456
66.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18864
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
19890
25.6 IPS |
|
|
Style Transfer (Q)
|
96% |
20918
27.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4342
160.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4793
177.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4563
168.5 IPS |
|
|
Text Classification (SP)
|
100% |
2463
3.29 KIPS |
|
|
Text Classification (HP)
|
100% |
4271
5.70 KIPS |
|
|
Text Classification (Q)
|
93% |
4245
5.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
1070
18.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1011
17.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1034
17.9 IPS |
