iPhone 13
Geekbench AI Score
2517
Single Precision Score
2708
Half Precision Score
2529
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 05 2025 06:54 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
663
123.2 IPS |
|
|
Image Classification (HP)
|
100% |
496
92.2 IPS |
|
|
Image Classification (Q)
|
97% |
710
132.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1945
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1961
31.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1942
31.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9331
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
9998
11.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
9266
10.9 IPS |
|
|
Object Detection (SP)
|
100% |
1077
85.4 IPS |
|
|
Object Detection (HP)
|
100% |
1032
81.9 IPS |
|
|
Object Detection (Q)
|
91% |
798
63.7 IPS |
|
|
Face Detection (SP)
|
100% |
3454
41.0 IPS |
|
|
Face Detection (HP)
|
100% |
4811
57.2 IPS |
|
|
Face Detection (Q)
|
100% |
3316
39.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6353
48.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
6168
47.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
6020
47.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16678
21.4 IPS |
|
|
Style Transfer (HP)
|
100% |
19297
24.8 IPS |
|
|
Style Transfer (Q)
|
96% |
17702
22.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2847
105.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2794
103.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2313
85.4 IPS |
|
|
Text Classification (SP)
|
100% |
2418
3.23 KIPS |
|
|
Text Classification (HP)
|
100% |
4174
5.57 KIPS |
|
|
Text Classification (Q)
|
93% |
4109
5.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
313
5.40 IPS |
|
|
Machine Translation (HP)
|
100% |
317
5.47 IPS |
|
|
Machine Translation (Q)
|
98% |
313
5.41 IPS |
