iPhone 13
Geekbench AI Score
2831
Single Precision Score
3161
Half Precision Score
3072
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | 704851103 |
| Upload Date | September 25 2025 02:18 AM |
| Views | 8 |
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% |
525
97.6 IPS |
|
|
Image Classification (HP)
|
100% |
500
93.0 IPS |
|
|
Image Classification (Q)
|
96% |
868
162.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2410
39.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2360
38.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2315
37.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9305
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
10380
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
10067
11.8 IPS |
|
|
Object Detection (SP)
|
100% |
1142
90.6 IPS |
|
|
Object Detection (HP)
|
100% |
1062
84.2 IPS |
|
|
Object Detection (Q)
|
92% |
878
70.1 IPS |
|
|
Face Detection (SP)
|
100% |
3662
43.5 IPS |
|
|
Face Detection (HP)
|
100% |
5058
60.1 IPS |
|
|
Face Detection (Q)
|
100% |
4095
48.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6825
52.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
7086
54.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
6359
49.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16912
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
19767
25.4 IPS |
|
|
Style Transfer (Q)
|
96% |
19300
24.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2899
107.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2974
109.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2703
99.8 IPS |
|
|
Text Classification (SP)
|
100% |
2459
3.28 KIPS |
|
|
Text Classification (HP)
|
100% |
4249
5.67 KIPS |
|
|
Text Classification (Q)
|
93% |
4196
5.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
817
14.1 IPS |
|
|
Machine Translation (HP)
|
100% |
857
14.8 IPS |
|
|
Machine Translation (Q)
|
98% |
740
12.8 IPS |
