iPhone 13
Geekbench AI Score
2931
Single Precision Score
3165
Half Precision Score
3101
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | EmilioDSin |
| Upload Date | September 16 2025 11:57 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
692
128.7 IPS |
|
|
Image Classification (HP)
|
100% |
600
111.6 IPS |
|
|
Image Classification (Q)
|
96% |
892
166.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2327
37.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2356
38.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2241
36.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9334
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
10424
12.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
10034
11.8 IPS |
|
|
Object Detection (SP)
|
100% |
1115
88.4 IPS |
|
|
Object Detection (HP)
|
100% |
1041
82.6 IPS |
|
|
Object Detection (Q)
|
92% |
772
61.6 IPS |
|
|
Face Detection (SP)
|
100% |
4281
50.9 IPS |
|
|
Face Detection (HP)
|
100% |
4925
58.5 IPS |
|
|
Face Detection (Q)
|
100% |
4133
49.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6699
51.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
6758
52.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
6736
52.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16571
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
19401
24.9 IPS |
|
|
Style Transfer (Q)
|
96% |
18967
24.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2883
106.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2848
105.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2743
101.3 IPS |
|
|
Text Classification (SP)
|
100% |
2559
3.42 KIPS |
|
|
Text Classification (HP)
|
99% |
4056
5.41 KIPS |
|
|
Text Classification (Q)
|
93% |
4066
5.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
798
13.8 IPS |
|
|
Machine Translation (HP)
|
100% |
882
15.2 IPS |
|
|
Machine Translation (Q)
|
98% |
904
15.6 IPS |
