iPhone 13 Pro
Geekbench AI Score
3145
Single Precision Score
19522
Half Precision Score
22696
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | September 05 2025 01:04 PM |
| Views | 1 |
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% |
1285
239.0 IPS |
|
|
Image Classification (HP)
|
100% |
8124
1.51 KIPS |
|
|
Image Classification (Q)
|
96% |
9774
1.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1273
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
12171
197.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
15436
250.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5852
6.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
90258
105.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
95800
112.3 IPS |
|
|
Object Detection (SP)
|
100% |
1368
108.5 IPS |
|
|
Object Detection (HP)
|
99% |
10487
834.2 IPS |
|
|
Object Detection (Q)
|
91% |
12065
964.0 IPS |
|
|
Face Detection (SP)
|
100% |
2601
30.9 IPS |
|
|
Face Detection (HP)
|
100% |
28985
344.4 IPS |
|
|
Face Detection (Q)
|
100% |
36379
432.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5172
39.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
55122
424.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
76103
594.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16608
21.4 IPS |
|
|
Style Transfer (HP)
|
100% |
165522
212.8 IPS |
|
|
Style Transfer (Q)
|
96% |
161514
208.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3716
137.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27562
1.02 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28301
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2452
3.27 KIPS |
|
|
Text Classification (HP)
|
100% |
1911
2.55 KIPS |
|
|
Text Classification (Q)
|
93% |
2338
3.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
3552
61.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6168
106.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7030
121.5 IPS |
