iPhone 13
Geekbench AI Score
2815
Single Precision Score
2915
Half Precision Score
3083
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 21 2025 06:48 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
526
97.8 IPS |
|
|
Image Classification (HP)
|
100% |
535
99.5 IPS |
|
|
Image Classification (Q)
|
96% |
828
154.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2271
36.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2311
37.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2189
35.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9266
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
10331
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
10006
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
1180
93.6 IPS |
|
|
Object Detection (HP)
|
100% |
816
64.7 IPS |
|
|
Object Detection (Q)
|
92% |
949
75.7 IPS |
|
|
Face Detection (SP)
|
100% |
4359
51.8 IPS |
|
|
Face Detection (HP)
|
100% |
3445
40.9 IPS |
|
|
Face Detection (Q)
|
100% |
3982
47.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6816
52.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
6612
50.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
7174
56.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16722
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
19730
25.4 IPS |
|
|
Style Transfer (Q)
|
96% |
18830
24.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2848
105.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2957
109.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2722
100.5 IPS |
|
|
Text Classification (SP)
|
100% |
2438
3.25 KIPS |
|
|
Text Classification (HP)
|
100% |
4208
5.62 KIPS |
|
|
Text Classification (Q)
|
93% |
4183
5.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
694
12.0 IPS |
|
|
Machine Translation (HP)
|
100% |
761
13.1 IPS |
|
|
Machine Translation (Q)
|
98% |
736
12.7 IPS |
