iPhone 13
Geekbench AI Score
2177
Single Precision Score
2317
Half Precision Score
827
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 14 2025 01:33 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.4 |
| 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 | 3.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
641
119.2 IPS |
|
|
Image Classification (HP)
|
100% |
876
163.0 IPS |
|
|
Image Classification (Q)
|
97% |
633
118.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1957
31.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2036
33.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1956
31.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9164
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
10045
11.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
8982
10.5 IPS |
|
|
Object Detection (SP)
|
100% |
924
73.3 IPS |
|
|
Object Detection (HP)
|
100% |
1006
79.8 IPS |
|
|
Object Detection (Q)
|
92% |
798
63.7 IPS |
|
|
Face Detection (SP)
|
100% |
4009
47.6 IPS |
|
|
Face Detection (HP)
|
100% |
3354
39.9 IPS |
|
|
Face Detection (Q)
|
100% |
3136
37.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6239
48.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
6407
49.4 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
46.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16427
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
18949
24.4 IPS |
|
|
Style Transfer (Q)
|
96% |
17795
23.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2784
102.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2860
105.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2386
88.1 IPS |
|
|
Text Classification (SP)
|
100% |
353
470.8 IPS |
|
|
Text Classification (HP)
|
100% |
353
471.3 IPS |
|
|
Text Classification (Q)
|
93% |
203
271.8 IPS |
|
|
Machine Translation (SP)
|
100% |
560
9.64 IPS |
|
|
Machine Translation (HP)
|
100% |
602
10.4 IPS |
|
|
Machine Translation (Q)
|
98% |
627
10.8 IPS |
