iPhone 13 Pro
Geekbench AI Score
3254
Single Precision Score
5791
Half Precision Score
4651
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 13 2025 12:36 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.7.2 |
| 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% |
1297
241.2 IPS |
|
|
Image Classification (HP)
|
100% |
2366
439.9 IPS |
|
|
Image Classification (Q)
|
96% |
1623
303.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1281
20.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1961
31.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2411
39.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6597
7.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
14738
17.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12342
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1443
114.5 IPS |
|
|
Object Detection (HP)
|
97% |
2711
215.8 IPS |
|
|
Object Detection (Q)
|
94% |
1927
153.6 IPS |
|
|
Face Detection (SP)
|
100% |
2644
31.4 IPS |
|
|
Face Detection (HP)
|
100% |
5619
66.8 IPS |
|
|
Face Detection (Q)
|
100% |
3182
37.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5288
40.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10450
80.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7330
57.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17578
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
28033
36.0 IPS |
|
|
Style Transfer (Q)
|
96% |
22975
29.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3878
143.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5074
187.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3605
133.1 IPS |
|
|
Text Classification (SP)
|
100% |
2445
3.26 KIPS |
|
|
Text Classification (HP)
|
100% |
4332
5.78 KIPS |
|
|
Text Classification (Q)
|
93% |
4166
5.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
3619
62.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6330
109.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6329
109.4 IPS |
