iPhone 13
Geekbench AI Score
3162
Single Precision Score
5758
Half Precision Score
4680
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 12 2025 11:29 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
1263
234.9 IPS |
|
|
Image Classification (HP)
|
100% |
2397
445.8 IPS |
|
|
Image Classification (Q)
|
96% |
1671
312.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1296
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1979
32.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2460
39.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6107
7.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
14435
16.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
12027
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1331
105.6 IPS |
|
|
Object Detection (HP)
|
97% |
2718
216.4 IPS |
|
|
Object Detection (Q)
|
94% |
1956
155.9 IPS |
|
|
Face Detection (SP)
|
100% |
2716
32.3 IPS |
|
|
Face Detection (HP)
|
100% |
5646
67.1 IPS |
|
|
Face Detection (Q)
|
100% |
3200
38.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5198
40.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
10641
82.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7517
58.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16821
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
26723
34.4 IPS |
|
|
Style Transfer (Q)
|
96% |
22133
28.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3567
131.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4943
182.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3686
136.1 IPS |
|
|
Text Classification (SP)
|
100% |
2573
3.43 KIPS |
|
|
Text Classification (HP)
|
99% |
4107
5.48 KIPS |
|
|
Text Classification (Q)
|
93% |
4008
5.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3453
59.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6607
114.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6634
114.6 IPS |
