iPhone 13 Pro
Geekbench AI Score
3295
Single Precision Score
5798
Half Precision Score
4704
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | March 03 2026 08:46 AM |
| Views | 6 |
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% |
1335
248.3 IPS |
|
|
Image Classification (HP)
|
100% |
2363
439.5 IPS |
|
|
Image Classification (Q)
|
96% |
1644
307.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1306
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2012
32.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2428
39.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6567
7.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
14770
17.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12371
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1466
116.3 IPS |
|
|
Object Detection (HP)
|
97% |
2738
218.0 IPS |
|
|
Object Detection (Q)
|
94% |
1939
154.5 IPS |
|
|
Face Detection (SP)
|
100% |
2675
31.8 IPS |
|
|
Face Detection (HP)
|
100% |
5647
67.1 IPS |
|
|
Face Detection (Q)
|
100% |
3212
38.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5335
41.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10547
81.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7362
57.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17795
22.9 IPS |
|
|
Style Transfer (HP)
|
100% |
28172
36.2 IPS |
|
|
Style Transfer (Q)
|
96% |
23047
29.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3876
143.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4745
175.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3661
135.2 IPS |
|
|
Text Classification (SP)
|
100% |
2487
3.32 KIPS |
|
|
Text Classification (HP)
|
100% |
4387
5.86 KIPS |
|
|
Text Classification (Q)
|
93% |
4337
5.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
3682
63.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6395
110.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6405
110.7 IPS |
