iPhone 13
Geekbench AI Score
2454
Single Precision Score
4796
Half Precision Score
3998
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| Upload Date | March 19 2026 02:56 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.3.1 |
| 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% |
923
171.6 IPS |
|
|
Image Classification (HP)
|
100% |
2042
379.8 IPS |
|
|
Image Classification (Q)
|
96% |
1464
273.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1016
16.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1754
28.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2133
34.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3305
3.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
8535
9.96 IPS |
|
|
Pose Estimation (Q)
|
95% |
7097
8.32 IPS |
|
|
Object Detection (SP)
|
100% |
976
77.4 IPS |
|
|
Object Detection (HP)
|
97% |
2403
191.3 IPS |
|
|
Object Detection (Q)
|
94% |
1793
142.9 IPS |
|
|
Face Detection (SP)
|
100% |
2210
26.3 IPS |
|
|
Face Detection (HP)
|
100% |
4390
52.2 IPS |
|
|
Face Detection (Q)
|
100% |
2740
32.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3938
30.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
9272
71.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
6713
52.5 IPS |
|
|
Style Transfer (SP)
|
100% |
11960
15.4 IPS |
|
|
Style Transfer (HP)
|
100% |
22818
29.3 IPS |
|
|
Style Transfer (Q)
|
96% |
15565
20.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3119
115.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4698
173.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3506
129.5 IPS |
|
|
Text Classification (SP)
|
100% |
2558
3.41 KIPS |
|
|
Text Classification (HP)
|
99% |
4283
5.72 KIPS |
|
|
Text Classification (Q)
|
93% |
4239
5.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
3159
54.4 IPS |
|
|
Machine Translation (HP)
|
98% |
4691
81.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6172
106.7 IPS |
