iPhone 13
Geekbench AI Score
2945
Single Precision Score
3173
Half Precision Score
3045
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | dimajcc |
| Upload Date | October 10 2025 10:33 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.7.1 |
| 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% |
996
185.3 IPS |
|
|
Image Classification (HP)
|
100% |
550
102.3 IPS |
|
|
Image Classification (Q)
|
96% |
861
160.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2328
37.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2352
38.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2211
35.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9296
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
10284
12.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
9983
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
1150
91.2 IPS |
|
|
Object Detection (HP)
|
100% |
1056
83.8 IPS |
|
|
Object Detection (Q)
|
92% |
913
72.9 IPS |
|
|
Face Detection (SP)
|
100% |
3522
41.9 IPS |
|
|
Face Detection (HP)
|
100% |
5159
61.3 IPS |
|
|
Face Detection (Q)
|
100% |
4115
48.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6893
53.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
6790
52.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
6393
49.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16781
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
19304
24.8 IPS |
|
|
Style Transfer (Q)
|
96% |
19104
24.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2695
99.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2949
108.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2527
93.3 IPS |
|
|
Text Classification (SP)
|
100% |
2462
3.29 KIPS |
|
|
Text Classification (HP)
|
100% |
4324
5.77 KIPS |
|
|
Text Classification (Q)
|
93% |
4250
5.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
733
12.6 IPS |
|
|
Machine Translation (HP)
|
100% |
855
14.7 IPS |
|
|
Machine Translation (Q)
|
98% |
734
12.7 IPS |
