iPhone 13
Geekbench AI Score
3266
Single Precision Score
5784
Half Precision Score
4653
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | Audiostetics |
| Upload Date | August 21 2025 06:25 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
1317
245.0 IPS |
|
|
Image Classification (HP)
|
100% |
2382
442.9 IPS |
|
|
Image Classification (Q)
|
96% |
1636
305.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1348
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2033
33.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2448
39.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6411
7.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
14313
16.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
11981
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
1412
112.0 IPS |
|
|
Object Detection (HP)
|
97% |
2701
215.1 IPS |
|
|
Object Detection (Q)
|
94% |
1913
152.5 IPS |
|
|
Face Detection (SP)
|
100% |
2720
32.3 IPS |
|
|
Face Detection (HP)
|
100% |
5559
66.0 IPS |
|
|
Face Detection (Q)
|
100% |
3124
37.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5347
41.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
10567
81.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7352
57.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16847
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
27756
35.7 IPS |
|
|
Style Transfer (Q)
|
96% |
22520
29.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3874
143.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5012
185.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3631
134.1 IPS |
|
|
Text Classification (SP)
|
100% |
2491
3.32 KIPS |
|
|
Text Classification (HP)
|
100% |
4402
5.87 KIPS |
|
|
Text Classification (Q)
|
93% |
4363
5.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
3641
62.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6226
107.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6337
109.5 IPS |
