iPhone 13
Geekbench AI Score
3219
Single Precision Score
20036
Half Precision Score
22394
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | Seele |
| Upload Date | August 20 2025 12:47 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1359
252.8 IPS |
|
|
Image Classification (HP)
|
100% |
7795
1.45 KIPS |
|
|
Image Classification (Q)
|
96% |
10599
1.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1325
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
13108
212.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
14429
233.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5974
6.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
83949
98.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
86106
100.9 IPS |
|
|
Object Detection (SP)
|
100% |
1401
111.2 IPS |
|
|
Object Detection (HP)
|
99% |
10665
848.4 IPS |
|
|
Object Detection (Q)
|
91% |
12391
990.1 IPS |
|
|
Face Detection (SP)
|
100% |
2691
32.0 IPS |
|
|
Face Detection (HP)
|
100% |
28606
339.9 IPS |
|
|
Face Detection (Q)
|
100% |
36415
432.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5166
39.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
54915
423.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
67384
526.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16207
20.8 IPS |
|
|
Style Transfer (HP)
|
100% |
155594
200.0 IPS |
|
|
Style Transfer (Q)
|
96% |
145162
187.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3749
138.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29830
1.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29270
1.08 KIPS |
|
|
Text Classification (SP)
|
100% |
2583
3.45 KIPS |
|
|
Text Classification (HP)
|
100% |
2348
3.13 KIPS |
|
|
Text Classification (Q)
|
93% |
2379
3.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3638
62.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6660
114.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7838
135.5 IPS |
