iPhone 13 Pro
Geekbench AI Score
3190
Single Precision Score
5661
Half Precision Score
4615
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | September 02 2025 04:21 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1348
250.8 IPS |
|
|
Image Classification (HP)
|
100% |
2397
445.9 IPS |
|
|
Image Classification (Q)
|
96% |
1665
311.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1273
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1959
31.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2421
39.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5872
6.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
13503
15.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
11681
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
1319
104.6 IPS |
|
|
Object Detection (HP)
|
97% |
2629
209.3 IPS |
|
|
Object Detection (Q)
|
94% |
1876
149.5 IPS |
|
|
Face Detection (SP)
|
100% |
2595
30.8 IPS |
|
|
Face Detection (HP)
|
100% |
5448
64.7 IPS |
|
|
Face Detection (Q)
|
100% |
3060
36.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5262
40.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10505
81.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7264
56.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16883
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
26933
34.6 IPS |
|
|
Style Transfer (Q)
|
96% |
22390
28.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3802
140.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4862
179.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3631
134.1 IPS |
|
|
Text Classification (SP)
|
100% |
2581
3.45 KIPS |
|
|
Text Classification (HP)
|
99% |
4132
5.52 KIPS |
|
|
Text Classification (Q)
|
93% |
4197
5.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
3632
62.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6549
113.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6552
113.2 IPS |
