iPhone 13
Geekbench AI Score
3018
Single Precision Score
3158
Half Precision Score
3022
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | ragnarokchan |
| Upload Date | November 01 2025 07:09 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
1069
198.7 IPS |
|
|
Image Classification (HP)
|
100% |
612
113.8 IPS |
|
|
Image Classification (Q)
|
96% |
897
167.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2344
38.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2334
37.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2224
36.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9213
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
10324
12.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
10010
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
1078
85.5 IPS |
|
|
Object Detection (HP)
|
100% |
965
76.6 IPS |
|
|
Object Detection (Q)
|
92% |
943
75.3 IPS |
|
|
Face Detection (SP)
|
100% |
4428
52.6 IPS |
|
|
Face Detection (HP)
|
100% |
5119
60.8 IPS |
|
|
Face Detection (Q)
|
100% |
3362
39.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6610
50.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
7748
59.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
6304
49.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16527
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
19449
25.0 IPS |
|
|
Style Transfer (Q)
|
96% |
19310
24.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2904
107.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2914
107.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2658
98.1 IPS |
|
|
Text Classification (SP)
|
100% |
2541
3.39 KIPS |
|
|
Text Classification (HP)
|
99% |
4042
5.40 KIPS |
|
|
Text Classification (Q)
|
93% |
4024
5.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
708
12.2 IPS |
|
|
Machine Translation (HP)
|
100% |
765
13.2 IPS |
|
|
Machine Translation (Q)
|
98% |
771
13.3 IPS |
