iPhone 13
Geekbench AI Score
3193
Single Precision Score
5816
Half Precision Score
4681
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| Upload Date | April 16 2026 03:49 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.4.1 |
| 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 | 3.58 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1268
235.8 IPS |
|
|
Image Classification (HP)
|
100% |
2390
444.4 IPS |
|
|
Image Classification (Q)
|
96% |
1644
307.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1266
20.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1927
31.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2390
38.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5369
6.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
13118
15.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
10940
12.8 IPS |
|
|
Object Detection (SP)
|
100% |
1252
99.3 IPS |
|
|
Object Detection (HP)
|
97% |
2556
203.5 IPS |
|
|
Object Detection (Q)
|
94% |
1824
145.4 IPS |
|
|
Face Detection (SP)
|
100% |
2627
31.2 IPS |
|
|
Face Detection (HP)
|
100% |
5336
63.4 IPS |
|
|
Face Detection (Q)
|
100% |
2959
35.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4901
37.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
10181
78.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7022
54.9 IPS |
|
|
Style Transfer (SP)
|
100% |
15555
20.0 IPS |
|
|
Style Transfer (HP)
|
100% |
25838
33.2 IPS |
|
|
Style Transfer (Q)
|
96% |
21049
27.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3380
124.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4781
176.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3494
129.0 IPS |
|
|
Text Classification (SP)
|
99% |
4514
6.02 KIPS |
|
|
Text Classification (HP)
|
99% |
7174
9.58 KIPS |
|
|
Text Classification (Q)
|
93% |
7076
9.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3345
57.6 IPS |
|
|
Machine Translation (HP)
|
98% |
5963
103.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5963
103.0 IPS |
