iPhone 13
Geekbench AI Score
1433
Single Precision Score
2090
Half Precision Score
1792
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | September 02 2025 09:48 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 3.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
601
111.7 IPS |
|
|
Image Classification (HP)
|
100% |
778
144.6 IPS |
|
|
Image Classification (Q)
|
96% |
582
108.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
576
9.34 IPS |
|
|
Image Segmentation (HP)
|
100% |
534
8.66 IPS |
|
|
Image Segmentation (Q)
|
99% |
765
12.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2695
3.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
6138
7.16 IPS |
|
|
Pose Estimation (Q)
|
95% |
5319
6.23 IPS |
|
|
Object Detection (SP)
|
100% |
653
51.8 IPS |
|
|
Object Detection (HP)
|
97% |
929
74.0 IPS |
|
|
Object Detection (Q)
|
94% |
714
56.9 IPS |
|
|
Face Detection (SP)
|
100% |
1332
15.8 IPS |
|
|
Face Detection (HP)
|
100% |
1823
21.7 IPS |
|
|
Face Detection (Q)
|
100% |
1183
14.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2189
16.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
3512
27.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
2645
20.6 IPS |
|
|
Style Transfer (SP)
|
100% |
7419
9.54 IPS |
|
|
Style Transfer (HP)
|
100% |
11404
14.7 IPS |
|
|
Style Transfer (Q)
|
96% |
9540
12.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1620
59.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2155
79.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1602
59.1 IPS |
|
|
Text Classification (SP)
|
100% |
1136
1.52 KIPS |
|
|
Text Classification (HP)
|
100% |
1880
2.51 KIPS |
|
|
Text Classification (Q)
|
93% |
1868
2.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
1514
26.1 IPS |
|
|
Machine Translation (HP)
|
98% |
2276
39.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2267
39.2 IPS |
