iPhone 13
Geekbench AI Score
3280
Single Precision Score
5756
Half Precision Score
4678
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 21 2025 06:03 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.1 |
| 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% |
1345
250.0 IPS |
|
|
Image Classification (HP)
|
100% |
2367
440.2 IPS |
|
|
Image Classification (Q)
|
96% |
1628
304.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1328
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1982
32.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2459
39.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6531
7.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
14450
16.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
12197
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1434
113.7 IPS |
|
|
Object Detection (HP)
|
97% |
2737
217.9 IPS |
|
|
Object Detection (Q)
|
94% |
1933
154.1 IPS |
|
|
Face Detection (SP)
|
100% |
2766
32.9 IPS |
|
|
Face Detection (HP)
|
100% |
5583
66.3 IPS |
|
|
Face Detection (Q)
|
100% |
3144
37.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5307
40.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
10536
81.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7349
57.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17147
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
28100
36.1 IPS |
|
|
Style Transfer (Q)
|
96% |
22874
29.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3840
141.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4762
175.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3637
134.3 IPS |
|
|
Text Classification (SP)
|
100% |
2460
3.28 KIPS |
|
|
Text Classification (HP)
|
100% |
4282
5.72 KIPS |
|
|
Text Classification (Q)
|
93% |
4258
5.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
3631
62.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6394
110.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6502
112.4 IPS |
