iPhone 13 Pro
Geekbench AI Score
3202
Single Precision Score
5717
Half Precision Score
4618
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | April 15 2026 03:34 AM |
| Views | 3 |
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% |
1314
244.4 IPS |
|
|
Image Classification (HP)
|
100% |
2370
440.8 IPS |
|
|
Image Classification (Q)
|
96% |
1627
303.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1280
20.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1952
31.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2404
39.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6254
7.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
14227
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
11903
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
1403
111.3 IPS |
|
|
Object Detection (HP)
|
97% |
2690
214.1 IPS |
|
|
Object Detection (Q)
|
94% |
1924
153.4 IPS |
|
|
Face Detection (SP)
|
100% |
2647
31.5 IPS |
|
|
Face Detection (HP)
|
100% |
5511
65.5 IPS |
|
|
Face Detection (Q)
|
100% |
3117
37.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5259
40.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10414
80.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7314
57.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16446
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
27544
35.4 IPS |
|
|
Style Transfer (Q)
|
96% |
22444
29.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3796
140.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4962
183.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3634
134.2 IPS |
|
|
Text Classification (SP)
|
100% |
2468
3.29 KIPS |
|
|
Text Classification (HP)
|
100% |
4293
5.73 KIPS |
|
|
Text Classification (Q)
|
93% |
4288
5.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
3587
61.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6265
108.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6188
106.9 IPS |
