iPhone 13
Geekbench AI Score
3118
Single Precision Score
5736
Half Precision Score
4587
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | TommyRay106 |
| Upload Date | October 21 2025 07:52 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
1272
236.5 IPS |
|
|
Image Classification (HP)
|
100% |
2411
448.4 IPS |
|
|
Image Classification (Q)
|
96% |
1674
312.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1293
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1961
31.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2448
39.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5783
6.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
14068
16.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11437
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1265
100.3 IPS |
|
|
Object Detection (HP)
|
97% |
2679
213.3 IPS |
|
|
Object Detection (Q)
|
94% |
1922
153.2 IPS |
|
|
Face Detection (SP)
|
100% |
2689
32.0 IPS |
|
|
Face Detection (HP)
|
100% |
5525
65.6 IPS |
|
|
Face Detection (Q)
|
100% |
3099
36.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5152
39.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10579
81.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7351
57.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16423
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
26358
33.9 IPS |
|
|
Style Transfer (Q)
|
96% |
19917
25.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3602
133.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4997
184.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3630
134.0 IPS |
|
|
Text Classification (SP)
|
100% |
2588
3.45 KIPS |
|
|
Text Classification (HP)
|
99% |
4319
5.77 KIPS |
|
|
Text Classification (Q)
|
93% |
4258
5.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
3409
58.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6519
112.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6533
112.9 IPS |
