iPhone 13
Geekbench AI Score
3172
Single Precision Score
20113
Half Precision Score
22912
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 14 2025 03:05 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
1332
247.7 IPS |
|
|
Image Classification (HP)
|
100% |
8777
1.63 KIPS |
|
|
Image Classification (Q)
|
96% |
10541
1.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1299
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
13056
211.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
15424
250.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5756
6.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
90803
106.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
95922
112.4 IPS |
|
|
Object Detection (SP)
|
100% |
1402
111.2 IPS |
|
|
Object Detection (HP)
|
99% |
10911
867.9 IPS |
|
|
Object Detection (Q)
|
91% |
11965
956.0 IPS |
|
|
Face Detection (SP)
|
100% |
2711
32.2 IPS |
|
|
Face Detection (HP)
|
100% |
28804
342.3 IPS |
|
|
Face Detection (Q)
|
100% |
36290
431.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5225
40.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
56968
438.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
74504
582.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16415
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
163877
210.7 IPS |
|
|
Style Transfer (Q)
|
96% |
171325
221.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3711
137.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26101
963.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28892
1.07 KIPS |
|
|
Text Classification (SP)
|
100% |
2373
3.17 KIPS |
|
|
Text Classification (HP)
|
100% |
2253
3.01 KIPS |
|
|
Text Classification (Q)
|
93% |
2287
3.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
3615
62.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6037
104.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6983
120.7 IPS |
