iPhone 13 Pro
Geekbench AI Score
3153
Single Precision Score
18339
Half Precision Score
20390
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 18 2026 11:44 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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 | 5.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1253
233.0 IPS |
|
|
Image Classification (HP)
|
100% |
7800
1.45 KIPS |
|
|
Image Classification (Q)
|
96% |
8237
1.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1244
20.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
12664
205.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
14399
233.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6117
7.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
78662
91.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
86566
101.5 IPS |
|
|
Object Detection (SP)
|
100% |
1355
107.5 IPS |
|
|
Object Detection (HP)
|
99% |
10318
820.8 IPS |
|
|
Object Detection (Q)
|
91% |
12058
963.5 IPS |
|
|
Face Detection (SP)
|
100% |
2621
31.1 IPS |
|
|
Face Detection (HP)
|
100% |
26395
313.6 IPS |
|
|
Face Detection (Q)
|
100% |
32872
390.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5183
39.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
54053
416.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
65162
509.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17349
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
149907
192.7 IPS |
|
|
Style Transfer (Q)
|
96% |
137782
177.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3599
132.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27601
1.02 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27318
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
2584
3.45 KIPS |
|
|
Text Classification (HP)
|
100% |
1476
1.97 KIPS |
|
|
Text Classification (Q)
|
93% |
1783
2.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3436
59.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6162
106.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6982
120.7 IPS |
