iPhone 13
Geekbench AI Score
3096
Single Precision Score
5432
Half Precision Score
4385
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 15 2025 10:54 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1343
249.8 IPS |
|
|
Image Classification (HP)
|
100% |
2358
438.4 IPS |
|
|
Image Classification (Q)
|
96% |
1610
300.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1279
20.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1903
30.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2298
37.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5585
6.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
12792
14.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
10581
12.4 IPS |
|
|
Object Detection (SP)
|
100% |
1320
104.7 IPS |
|
|
Object Detection (HP)
|
97% |
2528
201.3 IPS |
|
|
Object Detection (Q)
|
94% |
1783
142.1 IPS |
|
|
Face Detection (SP)
|
100% |
2620
31.1 IPS |
|
|
Face Detection (HP)
|
100% |
5139
61.1 IPS |
|
|
Face Detection (Q)
|
100% |
2904
34.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4970
38.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
10150
78.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
6874
53.7 IPS |
|
|
Style Transfer (SP)
|
100% |
15813
20.3 IPS |
|
|
Style Transfer (HP)
|
100% |
25484
32.8 IPS |
|
|
Style Transfer (Q)
|
96% |
20993
27.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3623
133.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4641
171.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3467
128.0 IPS |
|
|
Text Classification (SP)
|
100% |
2435
3.25 KIPS |
|
|
Text Classification (HP)
|
100% |
4250
5.67 KIPS |
|
|
Text Classification (Q)
|
93% |
4313
5.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
3523
60.7 IPS |
|
|
Machine Translation (HP)
|
98% |
5884
101.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6011
103.9 IPS |
