iPhone 13 Pro
Geekbench AI Score
3082
Single Precision Score
5750
Half Precision Score
4665
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 14 2026 04:55 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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 | 5.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1242
231.0 IPS |
|
|
Image Classification (HP)
|
100% |
2424
450.9 IPS |
|
|
Image Classification (Q)
|
96% |
1668
311.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1258
20.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1954
31.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2449
39.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5775
6.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
13768
16.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
11418
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1295
102.8 IPS |
|
|
Object Detection (HP)
|
97% |
2741
218.2 IPS |
|
|
Object Detection (Q)
|
94% |
1945
155.0 IPS |
|
|
Face Detection (SP)
|
100% |
2592
30.8 IPS |
|
|
Face Detection (HP)
|
100% |
5634
66.9 IPS |
|
|
Face Detection (Q)
|
100% |
3145
37.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5103
39.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
10539
81.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7432
58.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16182
20.8 IPS |
|
|
Style Transfer (HP)
|
100% |
27278
35.1 IPS |
|
|
Style Transfer (Q)
|
96% |
22347
28.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3579
132.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4738
174.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3691
136.3 IPS |
|
|
Text Classification (SP)
|
100% |
2571
3.43 KIPS |
|
|
Text Classification (HP)
|
99% |
4304
5.74 KIPS |
|
|
Text Classification (Q)
|
93% |
4275
5.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
3363
57.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6695
115.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6531
112.9 IPS |
