iPhone 13
Geekbench AI Score
2993
Single Precision Score
3092
Half Precision Score
2920
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 16 2025 07:17 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
801
148.9 IPS |
|
|
Image Classification (HP)
|
100% |
511
95.1 IPS |
|
|
Image Classification (Q)
|
96% |
559
104.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2356
38.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2336
37.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2228
36.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9213
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
10370
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
10015
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
1152
91.4 IPS |
|
|
Object Detection (HP)
|
100% |
849
67.3 IPS |
|
|
Object Detection (Q)
|
92% |
877
70.0 IPS |
|
|
Face Detection (SP)
|
100% |
4450
52.9 IPS |
|
|
Face Detection (HP)
|
100% |
5022
59.7 IPS |
|
|
Face Detection (Q)
|
100% |
4033
47.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7306
56.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
8036
61.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
6380
49.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16591
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
19480
25.0 IPS |
|
|
Style Transfer (Q)
|
96% |
19197
24.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2910
107.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2988
110.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2678
98.9 IPS |
|
|
Text Classification (SP)
|
100% |
2606
3.48 KIPS |
|
|
Text Classification (HP)
|
99% |
4207
5.62 KIPS |
|
|
Text Classification (Q)
|
93% |
4143
5.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
705
12.1 IPS |
|
|
Machine Translation (HP)
|
100% |
771
13.3 IPS |
|
|
Machine Translation (Q)
|
98% |
752
13.0 IPS |
