iPhone 13
Geekbench AI Score
2440
Single Precision Score
2767
Half Precision Score
2566
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | StanH |
| Upload Date | March 12 2025 01:51 AM |
| Views | 19 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
518
96.4 IPS |
|
|
Image Classification (HP)
|
100% |
578
107.6 IPS |
|
|
Image Classification (Q)
|
97% |
711
132.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1902
30.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2061
33.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2000
32.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9282
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
10045
11.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
9474
11.1 IPS |
|
|
Object Detection (SP)
|
100% |
1059
84.0 IPS |
|
|
Object Detection (HP)
|
100% |
1014
80.4 IPS |
|
|
Object Detection (Q)
|
91% |
787
62.9 IPS |
|
|
Face Detection (SP)
|
100% |
3348
39.8 IPS |
|
|
Face Detection (HP)
|
100% |
4924
58.5 IPS |
|
|
Face Detection (Q)
|
100% |
3349
39.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6273
48.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
6385
49.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
6155
48.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16654
21.4 IPS |
|
|
Style Transfer (HP)
|
100% |
19075
24.5 IPS |
|
|
Style Transfer (Q)
|
96% |
17820
23.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2897
107.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2831
104.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2404
88.8 IPS |
|
|
Text Classification (SP)
|
100% |
2410
3.22 KIPS |
|
|
Text Classification (HP)
|
100% |
4107
5.48 KIPS |
|
|
Text Classification (Q)
|
93% |
4159
5.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
317
5.46 IPS |
|
|
Machine Translation (HP)
|
100% |
312
5.38 IPS |
|
|
Machine Translation (Q)
|
98% |
318
5.49 IPS |
