iPhone 13
Geekbench AI Score
2742
Single Precision Score
3267
Half Precision Score
3082
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 18 2025 07:21 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.7.2 |
| 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% |
535
99.5 IPS |
|
|
Image Classification (HP)
|
100% |
938
174.5 IPS |
|
|
Image Classification (Q)
|
96% |
844
157.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2327
37.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2284
37.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2212
35.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9307
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
10293
12.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
10032
11.8 IPS |
|
|
Object Detection (SP)
|
100% |
1115
88.4 IPS |
|
|
Object Detection (HP)
|
100% |
1020
80.9 IPS |
|
|
Object Detection (Q)
|
92% |
876
69.9 IPS |
|
|
Face Detection (SP)
|
100% |
3511
41.7 IPS |
|
|
Face Detection (HP)
|
100% |
5041
59.9 IPS |
|
|
Face Detection (Q)
|
100% |
3936
46.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6536
50.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
6495
50.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
6782
53.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16762
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
19779
25.4 IPS |
|
|
Style Transfer (Q)
|
96% |
19161
24.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2701
99.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2928
108.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2675
98.8 IPS |
|
|
Text Classification (SP)
|
100% |
2454
3.28 KIPS |
|
|
Text Classification (HP)
|
100% |
4394
5.86 KIPS |
|
|
Text Classification (Q)
|
93% |
4408
5.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
730
12.6 IPS |
|
|
Machine Translation (HP)
|
100% |
740
12.7 IPS |
|
|
Machine Translation (Q)
|
98% |
784
13.5 IPS |
