iPhone 13
Geekbench AI Score
3047
Single Precision Score
3053
Half Precision Score
3069
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 05 2025 06:45 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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 | 3.57 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1037
192.8 IPS |
|
|
Image Classification (HP)
|
100% |
514
95.6 IPS |
|
|
Image Classification (Q)
|
96% |
885
165.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2310
37.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2308
37.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2231
36.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9194
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
10316
12.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
9988
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
1068
84.7 IPS |
|
|
Object Detection (HP)
|
100% |
956
75.8 IPS |
|
|
Object Detection (Q)
|
92% |
890
71.0 IPS |
|
|
Face Detection (SP)
|
100% |
4174
49.6 IPS |
|
|
Face Detection (HP)
|
100% |
4989
59.3 IPS |
|
|
Face Detection (Q)
|
100% |
4165
49.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6946
53.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
6522
50.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
6323
49.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16489
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
19338
24.9 IPS |
|
|
Style Transfer (Q)
|
96% |
18854
24.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2915
107.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3003
110.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2739
101.1 IPS |
|
|
Text Classification (SP)
|
100% |
2617
3.49 KIPS |
|
|
Text Classification (HP)
|
99% |
4180
5.58 KIPS |
|
|
Text Classification (Q)
|
93% |
4061
5.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
805
13.9 IPS |
|
|
Machine Translation (HP)
|
100% |
762
13.1 IPS |
|
|
Machine Translation (Q)
|
98% |
766
13.2 IPS |
