iPhone 13 Pro
Geekbench AI Score
3326
Single Precision Score
19509
Half Precision Score
22325
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | aIpaca |
| Upload Date | March 19 2026 06:14 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.4 |
| 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% |
1281
238.3 IPS |
|
|
Image Classification (HP)
|
100% |
7720
1.44 KIPS |
|
|
Image Classification (Q)
|
97% |
10768
2.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1273
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
12122
196.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
14965
242.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5666
6.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
78726
91.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
90589
106.2 IPS |
|
|
Object Detection (SP)
|
100% |
1347
106.8 IPS |
|
|
Object Detection (HP)
|
99% |
10427
829.4 IPS |
|
|
Object Detection (Q)
|
89% |
12008
961.3 IPS |
|
|
Face Detection (SP)
|
100% |
2693
32.0 IPS |
|
|
Face Detection (HP)
|
100% |
26655
316.7 IPS |
|
|
Face Detection (Q)
|
100% |
36346
431.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5232
40.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
58760
452.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
70032
547.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16804
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
150647
193.7 IPS |
|
|
Style Transfer (Q)
|
96% |
142480
183.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3548
131.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29586
1.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28198
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
4577
6.11 KIPS |
|
|
Text Classification (HP)
|
100% |
2397
3.20 KIPS |
|
|
Text Classification (Q)
|
93% |
2408
3.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3471
59.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6214
107.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7125
123.1 IPS |
