iPhone 13
Geekbench AI Score
2148
Single Precision Score
2437
Half Precision Score
2046
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | pingwinator |
| Upload Date | August 16 2024 01:40 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 3.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
582
108.3 IPS |
|
|
Image Classification (HP)
|
100% |
711
132.3 IPS |
|
|
Image Classification (Q)
|
99% |
738
137.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1950
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2012
32.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
2021
32.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9041
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
7713
9.00 IPS |
|
|
Pose Estimation (Q)
|
96% |
7590
8.89 IPS |
|
|
Object Detection (SP)
|
100% |
823
65.3 IPS |
|
|
Object Detection (HP)
|
100% |
1655
131.2 IPS |
|
|
Object Detection (Q)
|
92% |
609
48.6 IPS |
|
|
Face Detection (SP)
|
100% |
3953
47.0 IPS |
|
|
Face Detection (HP)
|
100% |
4901
58.2 IPS |
|
|
Face Detection (Q)
|
100% |
2777
33.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6290
48.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
6289
48.5 IPS |
|
|
Depth Estimation (Q)
|
97% |
7617
58.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16264
20.9 IPS |
|
|
Style Transfer (HP)
|
100% |
19084
24.5 IPS |
|
|
Style Transfer (Q)
|
100% |
18890
24.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3047
112.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2903
107.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2186
81.0 IPS |
|
|
Text Classification (SP)
|
100% |
351
468.4 IPS |
|
|
Text Classification (HP)
|
100% |
349
466.4 IPS |
|
|
Text Classification (Q)
|
93% |
329
442.2 IPS |
|
|
Machine Translation (SP)
|
100% |
574
9.88 IPS |
|
|
Machine Translation (HP)
|
100% |
680
11.7 IPS |
|
|
Machine Translation (Q)
|
98% |
652
11.3 IPS |
