iPhone 13 Pro
Geekbench AI Score
3115
Single Precision Score
5738
Half Precision Score
4744
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 02 2025 06:09 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1271
236.3 IPS |
|
|
Image Classification (HP)
|
100% |
2431
452.0 IPS |
|
|
Image Classification (Q)
|
96% |
1671
312.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1264
20.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1725
28.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2422
39.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6125
7.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
14630
17.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
12444
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1366
108.4 IPS |
|
|
Object Detection (HP)
|
97% |
2763
219.9 IPS |
|
|
Object Detection (Q)
|
94% |
1976
157.5 IPS |
|
|
Face Detection (SP)
|
100% |
2612
31.0 IPS |
|
|
Face Detection (HP)
|
100% |
5483
65.1 IPS |
|
|
Face Detection (Q)
|
100% |
3253
38.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4491
34.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10646
82.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7459
58.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16943
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
27686
35.6 IPS |
|
|
Style Transfer (Q)
|
96% |
22962
29.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3669
135.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4904
181.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3698
136.5 IPS |
|
|
Text Classification (SP)
|
100% |
2552
3.41 KIPS |
|
|
Text Classification (HP)
|
99% |
4325
5.77 KIPS |
|
|
Text Classification (Q)
|
93% |
4250
5.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
3445
59.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6660
115.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6629
114.6 IPS |
