iPhone 13 Pro
Geekbench AI Score
3218
Single Precision Score
16682
Half Precision Score
18099
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 22 2025 07:12 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1357
252.3 IPS |
|
|
Image Classification (HP)
|
100% |
8913
1.66 KIPS |
|
|
Image Classification (Q)
|
96% |
9607
1.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1318
21.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
6787
110.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
8079
131.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6248
7.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
91613
106.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
94235
110.4 IPS |
|
|
Object Detection (SP)
|
100% |
1442
114.4 IPS |
|
|
Object Detection (HP)
|
99% |
10813
860.1 IPS |
|
|
Object Detection (Q)
|
91% |
11080
885.4 IPS |
|
|
Face Detection (SP)
|
100% |
2721
32.3 IPS |
|
|
Face Detection (HP)
|
100% |
25986
308.8 IPS |
|
|
Face Detection (Q)
|
100% |
31413
373.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5432
41.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
55619
428.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
71093
555.6 IPS |
|
|
Style Transfer (SP)
|
100% |
15867
20.4 IPS |
|
|
Style Transfer (HP)
|
100% |
149659
192.4 IPS |
|
|
Style Transfer (Q)
|
96% |
152800
197.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3882
143.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26558
980.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28440
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2377
3.17 KIPS |
|
|
Text Classification (HP)
|
100% |
2170
2.90 KIPS |
|
|
Text Classification (Q)
|
93% |
2186
2.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
3420
58.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2235
38.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2195
37.9 IPS |
