iPhone 13
Geekbench AI Score
3067
Single Precision Score
5619
Half Precision Score
4507
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 10 2025 07:39 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
1267
235.5 IPS |
|
|
Image Classification (HP)
|
100% |
2409
448.0 IPS |
|
|
Image Classification (Q)
|
96% |
1662
310.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1282
20.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1949
31.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2181
35.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5525
6.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
13610
15.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
11315
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
1267
100.5 IPS |
|
|
Object Detection (HP)
|
97% |
2646
210.6 IPS |
|
|
Object Detection (Q)
|
94% |
1864
148.6 IPS |
|
|
Face Detection (SP)
|
100% |
2692
32.0 IPS |
|
|
Face Detection (HP)
|
100% |
5417
64.4 IPS |
|
|
Face Detection (Q)
|
100% |
3028
36.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5050
38.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
10450
80.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7288
57.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16170
20.8 IPS |
|
|
Style Transfer (HP)
|
100% |
25790
33.2 IPS |
|
|
Style Transfer (Q)
|
96% |
21236
27.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3452
127.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4682
172.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3554
131.2 IPS |
|
|
Text Classification (SP)
|
100% |
2565
3.42 KIPS |
|
|
Text Classification (HP)
|
99% |
4316
5.76 KIPS |
|
|
Text Classification (Q)
|
93% |
4184
5.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
3337
57.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6299
108.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6495
112.2 IPS |
