iPhone 13
Geekbench AI Score
2925
Single Precision Score
3057
Half Precision Score
3031
Quantized Score
Geekbench AI 1.6.0 Corporate for iOS AArch64
Result Information
| Upload Date | December 02 2025 05:56 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
636
118.4 IPS |
|
|
Image Classification (HP)
|
100% |
650
120.8 IPS |
|
|
Image Classification (Q)
|
96% |
573
107.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2322
37.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2398
38.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2242
36.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9204
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
10153
11.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
10019
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
1119
88.8 IPS |
|
|
Object Detection (HP)
|
100% |
958
76.0 IPS |
|
|
Object Detection (Q)
|
92% |
919
73.3 IPS |
|
|
Face Detection (SP)
|
100% |
4374
52.0 IPS |
|
|
Face Detection (HP)
|
100% |
3804
45.2 IPS |
|
|
Face Detection (Q)
|
100% |
4253
50.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7538
58.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
6911
53.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
7335
57.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16263
20.9 IPS |
|
|
Style Transfer (HP)
|
100% |
19026
24.5 IPS |
|
|
Style Transfer (Q)
|
96% |
18832
24.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2746
101.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2935
108.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2539
93.7 IPS |
|
|
Text Classification (SP)
|
100% |
2419
3.23 KIPS |
|
|
Text Classification (HP)
|
100% |
4226
5.64 KIPS |
|
|
Text Classification (Q)
|
93% |
4203
5.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
847
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
760
13.1 IPS |
|
|
Machine Translation (Q)
|
98% |
884
15.3 IPS |
