iPhone 13 Pro
Geekbench AI Score
3161
Single Precision Score
5798
Half Precision Score
4725
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | January 10 2026 10:01 AM |
| Views | 5 |
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% |
1251
232.7 IPS |
|
|
Image Classification (HP)
|
100% |
2409
448.0 IPS |
|
|
Image Classification (Q)
|
96% |
1671
312.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1266
20.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1974
32.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2443
39.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6106
7.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
14584
17.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
12396
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1354
107.4 IPS |
|
|
Object Detection (HP)
|
97% |
2746
218.6 IPS |
|
|
Object Detection (Q)
|
94% |
1969
157.0 IPS |
|
|
Face Detection (SP)
|
100% |
2617
31.1 IPS |
|
|
Face Detection (HP)
|
100% |
5718
67.9 IPS |
|
|
Face Detection (Q)
|
100% |
3228
38.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5214
40.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
10529
81.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7519
58.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17393
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
27321
35.1 IPS |
|
|
Style Transfer (Q)
|
96% |
22783
29.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3638
134.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5007
184.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3687
136.2 IPS |
|
|
Text Classification (SP)
|
100% |
2571
3.43 KIPS |
|
|
Text Classification (HP)
|
99% |
4164
5.56 KIPS |
|
|
Text Classification (Q)
|
93% |
4169
5.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
3429
59.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6581
113.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6558
113.3 IPS |
