iPhone 13
Geekbench AI Score
2898
Single Precision Score
3056
Half Precision Score
2928
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 11 2025 02:27 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
621
115.5 IPS |
|
|
Image Classification (HP)
|
100% |
512
95.2 IPS |
|
|
Image Classification (Q)
|
96% |
828
154.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2280
37.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2279
36.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2201
35.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9320
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
10093
11.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
9586
11.2 IPS |
|
|
Object Detection (SP)
|
100% |
1145
90.8 IPS |
|
|
Object Detection (HP)
|
100% |
1054
83.6 IPS |
|
|
Object Detection (Q)
|
92% |
898
71.7 IPS |
|
|
Face Detection (SP)
|
100% |
4382
52.1 IPS |
|
|
Face Detection (HP)
|
100% |
4847
57.6 IPS |
|
|
Face Detection (Q)
|
100% |
3209
38.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6575
50.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
6706
51.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
6342
49.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16725
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
18864
24.2 IPS |
|
|
Style Transfer (Q)
|
96% |
18394
23.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2912
107.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2948
108.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2573
95.0 IPS |
|
|
Text Classification (SP)
|
100% |
2431
3.25 KIPS |
|
|
Text Classification (HP)
|
100% |
4284
5.72 KIPS |
|
|
Text Classification (Q)
|
93% |
4166
5.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
813
14.0 IPS |
|
|
Machine Translation (HP)
|
100% |
740
12.7 IPS |
|
|
Machine Translation (Q)
|
98% |
737
12.7 IPS |
