iPhone 13
Geekbench AI Score
3051
Single Precision Score
5614
Half Precision Score
4562
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 24 2026 12:38 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
1265
235.3 IPS |
|
|
Image Classification (HP)
|
100% |
2390
444.5 IPS |
|
|
Image Classification (Q)
|
96% |
1666
311.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1264
20.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1934
31.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2378
38.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5543
6.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
13397
15.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
11414
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1260
100.0 IPS |
|
|
Object Detection (HP)
|
97% |
2668
212.4 IPS |
|
|
Object Detection (Q)
|
94% |
1850
147.4 IPS |
|
|
Face Detection (SP)
|
100% |
2667
31.7 IPS |
|
|
Face Detection (HP)
|
100% |
5464
64.9 IPS |
|
|
Face Detection (Q)
|
100% |
3055
36.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4998
38.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10366
80.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7280
56.9 IPS |
|
|
Style Transfer (SP)
|
100% |
15929
20.5 IPS |
|
|
Style Transfer (HP)
|
100% |
25515
32.8 IPS |
|
|
Style Transfer (Q)
|
96% |
21521
27.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3484
128.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4688
173.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3568
131.8 IPS |
|
|
Text Classification (SP)
|
100% |
2520
3.36 KIPS |
|
|
Text Classification (HP)
|
99% |
4246
5.67 KIPS |
|
|
Text Classification (Q)
|
93% |
4166
5.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
3366
58.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6553
113.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6563
113.4 IPS |
