iPhone 13
Geekbench AI Score
3048
Single Precision Score
5563
Half Precision Score
4524
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 19 2025 03:16 PM |
| 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% |
1271
236.3 IPS |
|
|
Image Classification (HP)
|
100% |
2412
448.6 IPS |
|
|
Image Classification (Q)
|
96% |
1675
312.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1287
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1933
31.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2372
38.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5490
6.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
13067
15.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
10926
12.8 IPS |
|
|
Object Detection (SP)
|
100% |
1246
98.9 IPS |
|
|
Object Detection (HP)
|
97% |
2608
207.6 IPS |
|
|
Object Detection (Q)
|
94% |
1846
147.1 IPS |
|
|
Face Detection (SP)
|
100% |
2636
31.3 IPS |
|
|
Face Detection (HP)
|
100% |
5293
62.9 IPS |
|
|
Face Detection (Q)
|
100% |
3007
35.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4945
38.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10398
80.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7120
55.7 IPS |
|
|
Style Transfer (SP)
|
100% |
15901
20.4 IPS |
|
|
Style Transfer (HP)
|
100% |
25363
32.6 IPS |
|
|
Style Transfer (Q)
|
96% |
20815
26.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3450
127.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4764
175.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3571
131.9 IPS |
|
|
Text Classification (SP)
|
100% |
2555
3.41 KIPS |
|
|
Text Classification (HP)
|
99% |
4248
5.67 KIPS |
|
|
Text Classification (Q)
|
93% |
4293
5.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
3396
58.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6328
109.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6567
113.5 IPS |
