iPhone 13
Geekbench AI Score
2988
Single Precision Score
3028
Half Precision Score
3040
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 15 2025 10:58 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
990
184.1 IPS |
|
|
Image Classification (HP)
|
100% |
585
108.8 IPS |
|
|
Image Classification (Q)
|
96% |
880
164.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2292
37.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2251
36.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2197
35.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9280
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
10337
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
9959
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
1142
90.6 IPS |
|
|
Object Detection (HP)
|
100% |
849
67.3 IPS |
|
|
Object Detection (Q)
|
92% |
845
67.5 IPS |
|
|
Face Detection (SP)
|
100% |
4175
49.6 IPS |
|
|
Face Detection (HP)
|
100% |
4899
58.2 IPS |
|
|
Face Detection (Q)
|
100% |
4082
48.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6704
51.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
6832
52.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
6466
50.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16722
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
19263
24.8 IPS |
|
|
Style Transfer (Q)
|
96% |
19089
24.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2858
105.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2823
104.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2642
97.6 IPS |
|
|
Text Classification (SP)
|
100% |
2396
3.20 KIPS |
|
|
Text Classification (HP)
|
100% |
4180
5.58 KIPS |
|
|
Text Classification (Q)
|
93% |
4216
5.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
738
12.7 IPS |
|
|
Machine Translation (HP)
|
100% |
737
12.7 IPS |
|
|
Machine Translation (Q)
|
98% |
739
12.8 IPS |
