iPhone 13
Geekbench AI Score
3006
Single Precision Score
5355
Half Precision Score
4315
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 15 2025 04:44 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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 | 3.57 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1252
232.8 IPS |
|
|
Image Classification (HP)
|
100% |
2280
424.1 IPS |
|
|
Image Classification (Q)
|
96% |
1558
290.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1241
20.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1836
29.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2251
36.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5186
6.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
11841
13.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
10302
12.1 IPS |
|
|
Object Detection (SP)
|
100% |
1346
106.8 IPS |
|
|
Object Detection (HP)
|
97% |
2543
202.4 IPS |
|
|
Object Detection (Q)
|
94% |
1782
142.0 IPS |
|
|
Face Detection (SP)
|
100% |
2598
30.9 IPS |
|
|
Face Detection (HP)
|
100% |
5183
61.6 IPS |
|
|
Face Detection (Q)
|
100% |
2902
34.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4857
37.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
9823
75.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
6848
53.5 IPS |
|
|
Style Transfer (SP)
|
100% |
15305
19.7 IPS |
|
|
Style Transfer (HP)
|
100% |
25486
32.8 IPS |
|
|
Style Transfer (Q)
|
96% |
20823
26.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3530
130.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4580
169.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3372
124.5 IPS |
|
|
Text Classification (SP)
|
100% |
2380
3.18 KIPS |
|
|
Text Classification (HP)
|
100% |
4209
5.62 KIPS |
|
|
Text Classification (Q)
|
93% |
4066
5.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3429
59.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6157
106.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6138
106.1 IPS |
