iPhone 13 Pro
Geekbench AI Score
3164
Single Precision Score
5805
Half Precision Score
4738
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | butterpowered |
| Upload Date | January 08 2026 07:48 PM |
| Views | 8 |
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% |
1261
234.6 IPS |
|
|
Image Classification (HP)
|
100% |
2418
449.7 IPS |
|
|
Image Classification (Q)
|
96% |
1669
311.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1260
20.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1973
32.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2458
39.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6141
7.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
14696
17.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
12445
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1349
107.0 IPS |
|
|
Object Detection (HP)
|
97% |
2761
219.8 IPS |
|
|
Object Detection (Q)
|
94% |
1983
158.1 IPS |
|
|
Face Detection (SP)
|
100% |
2657
31.6 IPS |
|
|
Face Detection (HP)
|
100% |
5725
68.0 IPS |
|
|
Face Detection (Q)
|
100% |
3248
38.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5205
40.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10662
82.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7471
58.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17286
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
27391
35.2 IPS |
|
|
Style Transfer (Q)
|
96% |
22853
29.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3625
133.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4819
178.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3679
135.8 IPS |
|
|
Text Classification (SP)
|
100% |
2552
3.41 KIPS |
|
|
Text Classification (HP)
|
99% |
4159
5.55 KIPS |
|
|
Text Classification (Q)
|
93% |
4134
5.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
3462
59.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6703
115.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6688
115.6 IPS |
