iPhone 13 Pro
Geekbench AI Score
3306
Single Precision Score
5796
Half Precision Score
4715
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | September 01 2025 05:53 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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 | 5.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1347
250.5 IPS |
|
|
Image Classification (HP)
|
100% |
2367
440.2 IPS |
|
|
Image Classification (Q)
|
96% |
1632
304.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1285
20.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1971
32.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2436
39.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6670
7.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
14971
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12480
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1466
116.3 IPS |
|
|
Object Detection (HP)
|
97% |
2730
217.3 IPS |
|
|
Object Detection (Q)
|
94% |
1950
155.4 IPS |
|
|
Face Detection (SP)
|
100% |
2717
32.3 IPS |
|
|
Face Detection (HP)
|
100% |
5659
67.2 IPS |
|
|
Face Detection (Q)
|
100% |
3227
38.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5365
41.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
10527
81.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7384
57.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17904
23.0 IPS |
|
|
Style Transfer (HP)
|
100% |
28299
36.4 IPS |
|
|
Style Transfer (Q)
|
96% |
23247
30.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3922
144.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4794
177.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3660
135.1 IPS |
|
|
Text Classification (SP)
|
100% |
2478
3.31 KIPS |
|
|
Text Classification (HP)
|
100% |
4321
5.77 KIPS |
|
|
Text Classification (Q)
|
93% |
4314
5.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
3636
62.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6428
111.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6426
111.1 IPS |
