iPhone 13
Geekbench AI Score
3033
Single Precision Score
3030
Half Precision Score
2905
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Admire |
| Upload Date | September 08 2025 09:06 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1008
187.4 IPS |
|
|
Image Classification (HP)
|
100% |
495
92.1 IPS |
|
|
Image Classification (Q)
|
96% |
564
105.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2288
37.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2322
37.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2210
35.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9263
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
10333
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
9980
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
1127
89.4 IPS |
|
|
Object Detection (HP)
|
100% |
1073
85.1 IPS |
|
|
Object Detection (Q)
|
92% |
889
71.0 IPS |
|
|
Face Detection (SP)
|
100% |
4159
49.4 IPS |
|
|
Face Detection (HP)
|
100% |
3844
45.7 IPS |
|
|
Face Detection (Q)
|
100% |
3140
37.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6752
52.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
6494
50.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
6632
51.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16757
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
19217
24.7 IPS |
|
|
Style Transfer (Q)
|
96% |
18744
24.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2931
108.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2906
107.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2711
100.1 IPS |
|
|
Text Classification (SP)
|
100% |
2435
3.25 KIPS |
|
|
Text Classification (HP)
|
100% |
4260
5.69 KIPS |
|
|
Text Classification (Q)
|
93% |
4219
5.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
816
14.1 IPS |
|
|
Machine Translation (HP)
|
100% |
862
14.8 IPS |
|
|
Machine Translation (Q)
|
98% |
868
15.0 IPS |
