iPhone 13
Geekbench AI Score
2868
Single Precision Score
3165
Half Precision Score
3091
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 24 2025 04:00 PM |
| Views | 3 |
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% |
724
134.6 IPS |
|
|
Image Classification (HP)
|
100% |
824
153.2 IPS |
|
|
Image Classification (Q)
|
96% |
847
158.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2252
36.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2353
38.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2163
35.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9229
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
10624
12.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
10067
11.8 IPS |
|
|
Object Detection (SP)
|
100% |
1130
89.6 IPS |
|
|
Object Detection (HP)
|
100% |
879
69.7 IPS |
|
|
Object Detection (Q)
|
92% |
822
65.6 IPS |
|
|
Face Detection (SP)
|
100% |
3364
40.0 IPS |
|
|
Face Detection (HP)
|
100% |
3343
39.7 IPS |
|
|
Face Detection (Q)
|
100% |
3923
46.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7605
58.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
8251
63.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
7577
59.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16419
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
19247
24.7 IPS |
|
|
Style Transfer (Q)
|
96% |
18335
23.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2899
107.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2833
104.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2829
104.5 IPS |
|
|
Text Classification (SP)
|
100% |
2550
3.40 KIPS |
|
|
Text Classification (HP)
|
99% |
4201
5.61 KIPS |
|
|
Text Classification (Q)
|
93% |
4145
5.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
715
12.3 IPS |
|
|
Machine Translation (HP)
|
100% |
882
15.2 IPS |
|
|
Machine Translation (Q)
|
98% |
822
14.2 IPS |
