iPhone 13
Geekbench AI Score
3128
Single Precision Score
20058
Half Precision Score
22810
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 01 2025 03:58 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
1351
251.2 IPS |
|
|
Image Classification (HP)
|
100% |
7786
1.45 KIPS |
|
|
Image Classification (Q)
|
96% |
9962
1.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1289
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
13465
218.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
16123
261.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5637
6.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
88182
102.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
93887
110.0 IPS |
|
|
Object Detection (SP)
|
100% |
1370
108.7 IPS |
|
|
Object Detection (HP)
|
99% |
11071
880.7 IPS |
|
|
Object Detection (Q)
|
91% |
11340
906.1 IPS |
|
|
Face Detection (SP)
|
100% |
2677
31.8 IPS |
|
|
Face Detection (HP)
|
100% |
28611
340.0 IPS |
|
|
Face Detection (Q)
|
100% |
35892
426.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5037
38.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
56465
435.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
82067
641.3 IPS |
|
|
Style Transfer (SP)
|
100% |
15562
20.0 IPS |
|
|
Style Transfer (HP)
|
100% |
162122
208.4 IPS |
|
|
Style Transfer (Q)
|
96% |
159664
206.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3620
133.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26487
978.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28044
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2440
3.26 KIPS |
|
|
Text Classification (HP)
|
100% |
2386
3.18 KIPS |
|
|
Text Classification (Q)
|
93% |
2425
3.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3598
62.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6223
107.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6973
120.5 IPS |
