iPhone 13
Geekbench AI Score
3178
Single Precision Score
5580
Half Precision Score
4500
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 17 2025 03:11 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1289
239.8 IPS |
|
|
Image Classification (HP)
|
100% |
2352
437.3 IPS |
|
|
Image Classification (Q)
|
96% |
1603
299.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1278
20.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1909
30.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2337
37.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5844
6.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
13175
15.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11315
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
1427
113.2 IPS |
|
|
Object Detection (HP)
|
97% |
2697
214.7 IPS |
|
|
Object Detection (Q)
|
94% |
1869
149.0 IPS |
|
|
Face Detection (SP)
|
100% |
2763
32.8 IPS |
|
|
Face Detection (HP)
|
100% |
5405
64.2 IPS |
|
|
Face Detection (Q)
|
100% |
3056
36.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5190
40.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
10363
80.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7130
55.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16782
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
26160
33.6 IPS |
|
|
Style Transfer (Q)
|
96% |
21188
27.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3659
135.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4835
178.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3503
129.4 IPS |
|
|
Text Classification (SP)
|
100% |
2447
3.27 KIPS |
|
|
Text Classification (HP)
|
100% |
4280
5.71 KIPS |
|
|
Text Classification (Q)
|
93% |
4278
5.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
3551
61.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6056
104.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6218
107.5 IPS |
