iPhone 13
Geekbench AI Score
3101
Single Precision Score
5686
Half Precision Score
4607
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 13 2025 08:40 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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
235.7 IPS |
|
|
Image Classification (HP)
|
100% |
2427
451.4 IPS |
|
|
Image Classification (Q)
|
96% |
1670
311.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1293
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1937
31.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2441
39.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5772
6.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
14082
16.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11524
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1274
101.1 IPS |
|
|
Object Detection (HP)
|
97% |
2620
208.5 IPS |
|
|
Object Detection (Q)
|
94% |
1889
150.6 IPS |
|
|
Face Detection (SP)
|
100% |
2642
31.4 IPS |
|
|
Face Detection (HP)
|
100% |
5524
65.6 IPS |
|
|
Face Detection (Q)
|
100% |
3094
36.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5139
39.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10543
81.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7350
57.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16434
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
26399
33.9 IPS |
|
|
Style Transfer (Q)
|
96% |
21405
27.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3522
130.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4823
178.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3609
133.3 IPS |
|
|
Text Classification (SP)
|
100% |
2555
3.41 KIPS |
|
|
Text Classification (HP)
|
99% |
4198
5.60 KIPS |
|
|
Text Classification (Q)
|
93% |
4206
5.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
3401
58.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6546
113.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6572
113.6 IPS |
