iPhone 13
Geekbench AI Score
2857
Single Precision Score
3152
Half Precision Score
2876
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 01 2025 03:56 PM |
| Views | 3 |
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% |
514
95.5 IPS |
|
|
Image Classification (HP)
|
100% |
604
112.4 IPS |
|
|
Image Classification (Q)
|
96% |
844
157.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2278
36.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2347
38.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2226
36.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9221
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
10040
11.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
9952
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
1145
90.8 IPS |
|
|
Object Detection (HP)
|
100% |
929
73.7 IPS |
|
|
Object Detection (Q)
|
92% |
812
64.8 IPS |
|
|
Face Detection (SP)
|
100% |
4421
52.5 IPS |
|
|
Face Detection (HP)
|
100% |
5087
60.4 IPS |
|
|
Face Detection (Q)
|
100% |
3661
43.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7524
58.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
8068
62.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
6469
50.5 IPS |
|
|
Style Transfer (SP)
|
100% |
15839
20.4 IPS |
|
|
Style Transfer (HP)
|
100% |
17602
22.6 IPS |
|
|
Style Transfer (Q)
|
96% |
15566
20.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2760
101.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2759
101.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2240
82.7 IPS |
|
|
Text Classification (SP)
|
100% |
2464
3.29 KIPS |
|
|
Text Classification (HP)
|
100% |
4312
5.76 KIPS |
|
|
Text Classification (Q)
|
93% |
4235
5.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
820
14.1 IPS |
|
|
Machine Translation (HP)
|
100% |
854
14.7 IPS |
|
|
Machine Translation (Q)
|
98% |
730
12.6 IPS |
