iPhone 13
Geekbench AI Score
2829
Single Precision Score
3013
Half Precision Score
3114
Quantized Score
Geekbench AI 1.5.0 Corporate for iOS AArch64
Result Information
| Upload Date | September 02 2025 08:01 PM |
| Views | 2 |
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% |
524
97.4 IPS |
|
|
Image Classification (HP)
|
100% |
615
114.3 IPS |
|
|
Image Classification (Q)
|
96% |
885
165.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2346
38.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2432
39.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2373
38.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9205
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
10183
11.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
9991
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
922
73.1 IPS |
|
|
Object Detection (HP)
|
100% |
853
67.7 IPS |
|
|
Object Detection (Q)
|
92% |
935
74.6 IPS |
|
|
Face Detection (SP)
|
100% |
4303
51.1 IPS |
|
|
Face Detection (HP)
|
100% |
3961
47.1 IPS |
|
|
Face Detection (Q)
|
100% |
4007
47.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7681
59.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
6599
50.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
7087
55.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16120
20.7 IPS |
|
|
Style Transfer (HP)
|
100% |
19270
24.8 IPS |
|
|
Style Transfer (Q)
|
96% |
19003
24.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2796
103.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2924
108.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2560
94.5 IPS |
|
|
Text Classification (SP)
|
100% |
2449
3.27 KIPS |
|
|
Text Classification (HP)
|
100% |
4288
5.72 KIPS |
|
|
Text Classification (Q)
|
93% |
4259
5.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
864
14.9 IPS |
|
|
Machine Translation (HP)
|
100% |
754
13.0 IPS |
|
|
Machine Translation (Q)
|
98% |
745
12.9 IPS |
