iPhone 13 Pro
Geekbench AI Score
3210
Single Precision Score
5694
Half Precision Score
4621
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 20 2025 11:41 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.7.1 |
| 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 | 5.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1348
250.7 IPS |
|
|
Image Classification (HP)
|
100% |
2350
437.0 IPS |
|
|
Image Classification (Q)
|
96% |
1617
302.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1277
20.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1954
31.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2423
39.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6282
7.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
14113
16.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
11953
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
1377
109.2 IPS |
|
|
Object Detection (HP)
|
97% |
2711
215.8 IPS |
|
|
Object Detection (Q)
|
94% |
1931
153.9 IPS |
|
|
Face Detection (SP)
|
100% |
2688
31.9 IPS |
|
|
Face Detection (HP)
|
100% |
5577
66.3 IPS |
|
|
Face Detection (Q)
|
100% |
3126
37.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5238
40.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
10332
79.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7335
57.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16959
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
27519
35.4 IPS |
|
|
Style Transfer (Q)
|
96% |
22391
28.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3798
140.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4750
175.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3618
133.6 IPS |
|
|
Text Classification (SP)
|
100% |
2446
3.26 KIPS |
|
|
Text Classification (HP)
|
100% |
4261
5.69 KIPS |
|
|
Text Classification (Q)
|
93% |
4270
5.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
3525
60.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6356
109.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6202
107.2 IPS |
