iPhone 13 Pro
Geekbench AI Score
3186
Single Precision Score
5732
Half Precision Score
4655
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | August 12 2025 08:10 AM |
| Views | 7 |
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% |
1359
252.7 IPS |
|
|
Image Classification (HP)
|
100% |
2392
444.9 IPS |
|
|
Image Classification (Q)
|
96% |
1673
312.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1285
20.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1947
31.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2415
39.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6175
7.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
13967
16.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
11764
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
1367
108.5 IPS |
|
|
Object Detection (HP)
|
97% |
2709
215.7 IPS |
|
|
Object Detection (Q)
|
94% |
1910
152.2 IPS |
|
|
Face Detection (SP)
|
100% |
2632
31.3 IPS |
|
|
Face Detection (HP)
|
100% |
5512
65.5 IPS |
|
|
Face Detection (Q)
|
100% |
3078
36.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5169
39.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
10525
81.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7352
57.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16469
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
27315
35.1 IPS |
|
|
Style Transfer (Q)
|
96% |
22246
28.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3635
134.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4897
180.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3633
134.1 IPS |
|
|
Text Classification (SP)
|
100% |
2612
3.49 KIPS |
|
|
Text Classification (HP)
|
99% |
4270
5.70 KIPS |
|
|
Text Classification (Q)
|
93% |
4314
5.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
3439
59.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6561
113.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6682
115.5 IPS |
