iPhone 13 Pro
Geekbench AI Score
3271
Single Precision Score
5788
Half Precision Score
4671
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | April 02 2026 06:38 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.7.7 |
| 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% |
1328
246.9 IPS |
|
|
Image Classification (HP)
|
100% |
2355
438.0 IPS |
|
|
Image Classification (Q)
|
96% |
1634
305.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1286
20.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2014
32.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2424
39.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6465
7.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
14491
16.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
12079
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1440
114.2 IPS |
|
|
Object Detection (HP)
|
97% |
2720
216.6 IPS |
|
|
Object Detection (Q)
|
94% |
1934
154.2 IPS |
|
|
Face Detection (SP)
|
100% |
2715
32.3 IPS |
|
|
Face Detection (HP)
|
100% |
5611
66.7 IPS |
|
|
Face Detection (Q)
|
100% |
3182
37.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5348
41.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
10580
81.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7334
57.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17554
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
27989
36.0 IPS |
|
|
Style Transfer (Q)
|
96% |
22937
29.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3886
143.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4855
179.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3624
133.8 IPS |
|
|
Text Classification (SP)
|
100% |
2474
3.30 KIPS |
|
|
Text Classification (HP)
|
100% |
4368
5.83 KIPS |
|
|
Text Classification (Q)
|
93% |
4368
5.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
3610
62.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6415
110.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6318
109.2 IPS |
