iPhone 13
Geekbench AI Score
3034
Single Precision Score
3238
Half Precision Score
3084
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | StoneMan240 |
| Upload Date | September 07 2025 06:53 AM |
| 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% |
1034
192.3 IPS |
|
|
Image Classification (HP)
|
100% |
887
164.9 IPS |
|
|
Image Classification (Q)
|
96% |
784
146.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2304
37.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2278
36.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2187
35.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9286
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
10323
12.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
10084
11.8 IPS |
|
|
Object Detection (SP)
|
100% |
1121
88.9 IPS |
|
|
Object Detection (HP)
|
100% |
1101
87.4 IPS |
|
|
Object Detection (Q)
|
92% |
854
68.2 IPS |
|
|
Face Detection (SP)
|
100% |
4288
51.0 IPS |
|
|
Face Detection (HP)
|
100% |
3710
44.1 IPS |
|
|
Face Detection (Q)
|
100% |
4067
48.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6754
52.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
7753
59.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
7146
55.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16779
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
19225
24.7 IPS |
|
|
Style Transfer (Q)
|
96% |
18788
24.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2860
105.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2954
109.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2697
99.6 IPS |
|
|
Text Classification (SP)
|
100% |
2459
3.28 KIPS |
|
|
Text Classification (HP)
|
100% |
4264
5.69 KIPS |
|
|
Text Classification (Q)
|
93% |
4183
5.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
781
13.5 IPS |
|
|
Machine Translation (HP)
|
100% |
794
13.7 IPS |
|
|
Machine Translation (Q)
|
98% |
857
14.8 IPS |
