iPhone 13 Pro
Geekbench AI Score
3256
Single Precision Score
20510
Half Precision Score
23156
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 23 2025 10:46 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| Model | iPhone 13 Pro |
| Model ID | iPhone14,2 |
| Motherboard | D63AP |
| 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 | 5.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1350
251.1 IPS |
|
|
Image Classification (HP)
|
100% |
8706
1.62 KIPS |
|
|
Image Classification (Q)
|
96% |
10244
1.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1281
20.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
13527
219.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
15728
255.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6246
7.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
94889
110.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
93433
109.5 IPS |
|
|
Object Detection (SP)
|
100% |
1438
114.0 IPS |
|
|
Object Detection (HP)
|
99% |
10567
840.6 IPS |
|
|
Object Detection (Q)
|
91% |
12211
975.7 IPS |
|
|
Face Detection (SP)
|
100% |
2706
32.2 IPS |
|
|
Face Detection (HP)
|
100% |
28689
340.9 IPS |
|
|
Face Detection (Q)
|
100% |
37376
444.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5354
41.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
55089
424.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
74982
586.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17525
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
165536
212.8 IPS |
|
|
Style Transfer (Q)
|
96% |
161053
207.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3771
139.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27642
1.02 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28809
1.06 KIPS |
|
|
Text Classification (SP)
|
100% |
2463
3.29 KIPS |
|
|
Text Classification (HP)
|
100% |
2492
3.33 KIPS |
|
|
Text Classification (Q)
|
93% |
2536
3.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3657
63.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6190
106.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7314
126.4 IPS |
