iPhone 13
Geekbench AI Score
2617
Single Precision Score
4874
Half Precision Score
3925
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| Upload Date | March 19 2026 03:18 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.3.1 |
| 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 | 3.58 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1132
210.5 IPS |
|
|
Image Classification (HP)
|
100% |
2313
430.1 IPS |
|
|
Image Classification (Q)
|
96% |
1558
290.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1120
18.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1319
21.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1876
30.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4257
4.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
10095
11.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
9402
11.0 IPS |
|
|
Object Detection (SP)
|
100% |
1069
84.8 IPS |
|
|
Object Detection (HP)
|
97% |
2398
190.9 IPS |
|
|
Object Detection (Q)
|
94% |
1676
133.6 IPS |
|
|
Face Detection (SP)
|
100% |
2327
27.6 IPS |
|
|
Face Detection (HP)
|
100% |
4915
58.4 IPS |
|
|
Face Detection (Q)
|
100% |
2704
32.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4497
34.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
8661
67.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
5550
43.4 IPS |
|
|
Style Transfer (SP)
|
100% |
13031
16.8 IPS |
|
|
Style Transfer (HP)
|
100% |
22307
28.7 IPS |
|
|
Style Transfer (Q)
|
96% |
15316
19.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2695
99.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4307
159.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3260
120.4 IPS |
|
|
Text Classification (SP)
|
100% |
2464
3.29 KIPS |
|
|
Text Classification (HP)
|
99% |
4193
5.60 KIPS |
|
|
Text Classification (Q)
|
93% |
4254
5.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
2888
49.7 IPS |
|
|
Machine Translation (HP)
|
98% |
5982
103.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5919
102.3 IPS |
