iPhone 13
Geekbench AI Score
3172
Single Precision Score
5776
Half Precision Score
4687
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 16 2025 07:12 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1252
232.7 IPS |
|
|
Image Classification (HP)
|
100% |
2411
448.3 IPS |
|
|
Image Classification (Q)
|
96% |
1671
312.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1300
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1992
32.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2484
40.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6090
7.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
14316
16.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12014
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1333
105.7 IPS |
|
|
Object Detection (HP)
|
97% |
2731
217.4 IPS |
|
|
Object Detection (Q)
|
94% |
1950
155.4 IPS |
|
|
Face Detection (SP)
|
100% |
2756
32.7 IPS |
|
|
Face Detection (HP)
|
100% |
5600
66.5 IPS |
|
|
Face Detection (Q)
|
100% |
3176
37.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5221
40.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
10649
82.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7442
58.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17051
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
26749
34.4 IPS |
|
|
Style Transfer (Q)
|
96% |
22085
28.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3589
132.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4791
176.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3650
134.8 IPS |
|
|
Text Classification (SP)
|
100% |
2520
3.36 KIPS |
|
|
Text Classification (HP)
|
99% |
4307
5.75 KIPS |
|
|
Text Classification (Q)
|
93% |
4125
5.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
3519
60.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6688
115.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6706
115.9 IPS |
