iPhone 13
Geekbench AI Score
2868
Single Precision Score
3270
Half Precision Score
2931
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 12 2025 07:50 PM |
| Views | 4 |
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% |
1022
190.1 IPS |
|
|
Image Classification (HP)
|
100% |
904
168.1 IPS |
|
|
Image Classification (Q)
|
96% |
543
101.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2290
37.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2330
37.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2200
35.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9289
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
10307
12.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
9996
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
973
77.2 IPS |
|
|
Object Detection (HP)
|
100% |
1093
86.7 IPS |
|
|
Object Detection (Q)
|
92% |
938
74.9 IPS |
|
|
Face Detection (SP)
|
100% |
4109
48.8 IPS |
|
|
Face Detection (HP)
|
100% |
4922
58.5 IPS |
|
|
Face Detection (Q)
|
100% |
3423
40.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6825
52.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
6825
52.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
6628
51.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16759
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
19756
25.4 IPS |
|
|
Style Transfer (Q)
|
96% |
19167
24.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2178
80.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2829
104.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2660
98.2 IPS |
|
|
Text Classification (SP)
|
100% |
2419
3.23 KIPS |
|
|
Text Classification (HP)
|
100% |
4242
5.66 KIPS |
|
|
Text Classification (Q)
|
93% |
4216
5.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
719
12.4 IPS |
|
|
Machine Translation (HP)
|
100% |
741
12.8 IPS |
|
|
Machine Translation (Q)
|
98% |
857
14.8 IPS |
