iPhone 13
Geekbench AI Score
2854
Single Precision Score
3295
Half Precision Score
2966
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 14 2025 03:42 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| Model | iPhone 13 |
| Model ID | iPhone14,5 |
| Motherboard | D17AP |
| 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 | 3.58 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
527
98.1 IPS |
|
|
Image Classification (HP)
|
100% |
819
152.3 IPS |
|
|
Image Classification (Q)
|
96% |
808
150.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2291
37.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2361
38.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2175
35.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9217
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
10255
12.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
9833
11.5 IPS |
|
|
Object Detection (SP)
|
100% |
1102
87.4 IPS |
|
|
Object Detection (HP)
|
100% |
1013
80.4 IPS |
|
|
Object Detection (Q)
|
92% |
858
68.5 IPS |
|
|
Face Detection (SP)
|
100% |
4438
52.7 IPS |
|
|
Face Detection (HP)
|
100% |
5149
61.2 IPS |
|
|
Face Detection (Q)
|
100% |
3673
43.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7484
57.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
8107
62.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
6641
51.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16496
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
19363
24.9 IPS |
|
|
Style Transfer (Q)
|
96% |
18874
24.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2744
101.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2655
98.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2451
90.5 IPS |
|
|
Text Classification (SP)
|
100% |
2401
3.21 KIPS |
|
|
Text Classification (HP)
|
100% |
4160
5.55 KIPS |
|
|
Text Classification (Q)
|
93% |
4112
5.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
812
14.0 IPS |
|
|
Machine Translation (HP)
|
100% |
843
14.5 IPS |
|
|
Machine Translation (Q)
|
98% |
767
13.3 IPS |
