iPhone 13 Pro
Geekbench AI Score
3066
Single Precision Score
5682
Half Precision Score
4658
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | October 05 2025 12:55 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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 | 5.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1257
233.8 IPS |
|
|
Image Classification (HP)
|
100% |
2429
451.6 IPS |
|
|
Image Classification (Q)
|
96% |
1673
312.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1230
19.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1954
31.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2433
39.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4934
5.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
12121
14.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
10477
12.3 IPS |
|
|
Object Detection (SP)
|
100% |
1340
106.3 IPS |
|
|
Object Detection (HP)
|
97% |
2667
212.4 IPS |
|
|
Object Detection (Q)
|
94% |
1942
154.8 IPS |
|
|
Face Detection (SP)
|
100% |
2628
31.2 IPS |
|
|
Face Detection (HP)
|
100% |
5636
67.0 IPS |
|
|
Face Detection (Q)
|
100% |
3161
37.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5124
39.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10583
81.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7427
58.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16729
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
27223
35.0 IPS |
|
|
Style Transfer (Q)
|
96% |
22750
29.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3626
133.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4939
182.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3666
135.4 IPS |
|
|
Text Classification (SP)
|
100% |
2600
3.47 KIPS |
|
|
Text Classification (HP)
|
99% |
4344
5.80 KIPS |
|
|
Text Classification (Q)
|
93% |
4356
5.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
3391
58.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6572
113.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6815
117.8 IPS |
