iPhone 13
Geekbench AI Score
2909
Single Precision Score
3264
Half Precision Score
3096
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 15 2025 04:47 AM |
| Views | 1 |
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% |
730
135.8 IPS |
|
|
Image Classification (HP)
|
100% |
871
162.0 IPS |
|
|
Image Classification (Q)
|
96% |
852
159.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2339
37.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2384
38.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2263
36.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9194
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
10266
12.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
9942
11.6 IPS |
|
|
Object Detection (SP)
|
100% |
883
70.0 IPS |
|
|
Object Detection (HP)
|
100% |
878
69.6 IPS |
|
|
Object Detection (Q)
|
92% |
790
63.1 IPS |
|
|
Face Detection (SP)
|
100% |
4386
52.1 IPS |
|
|
Face Detection (HP)
|
100% |
5181
61.6 IPS |
|
|
Face Detection (Q)
|
100% |
4129
49.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7604
58.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
8225
63.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
6271
49.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16514
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
16358
21.0 IPS |
|
|
Style Transfer (Q)
|
96% |
15548
20.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2796
103.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2895
106.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3767
139.1 IPS |
|
|
Text Classification (SP)
|
100% |
2390
3.19 KIPS |
|
|
Text Classification (HP)
|
100% |
4155
5.55 KIPS |
|
|
Text Classification (Q)
|
93% |
4122
5.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
853
14.7 IPS |
|
|
Machine Translation (HP)
|
100% |
876
15.1 IPS |
|
|
Machine Translation (Q)
|
98% |
857
14.8 IPS |
