iPhone 13 Pro
Geekbench AI Score
3193
Single Precision Score
5660
Half Precision Score
4612
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | September 02 2025 07:38 PM |
| Views | 10 |
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% |
1340
249.2 IPS |
|
|
Image Classification (HP)
|
100% |
2354
437.8 IPS |
|
|
Image Classification (Q)
|
96% |
1654
309.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1270
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1929
31.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2363
38.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5408
6.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
12195
14.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
10511
12.3 IPS |
|
|
Object Detection (SP)
|
100% |
1428
113.3 IPS |
|
|
Object Detection (HP)
|
97% |
2686
213.8 IPS |
|
|
Object Detection (Q)
|
94% |
1955
155.8 IPS |
|
|
Face Detection (SP)
|
100% |
2655
31.6 IPS |
|
|
Face Detection (HP)
|
100% |
5604
66.6 IPS |
|
|
Face Detection (Q)
|
100% |
3117
37.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5224
40.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
10583
81.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7449
58.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16794
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
27990
36.0 IPS |
|
|
Style Transfer (Q)
|
96% |
22855
29.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3866
142.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4819
178.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3678
135.8 IPS |
|
|
Text Classification (SP)
|
100% |
2600
3.47 KIPS |
|
|
Text Classification (HP)
|
99% |
4324
5.77 KIPS |
|
|
Text Classification (Q)
|
93% |
4173
5.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
3591
61.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6564
113.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6667
115.2 IPS |
