iPhone 13 Pro
Geekbench AI Score
3253
Single Precision Score
5746
Half Precision Score
4651
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | March 25 2026 02:12 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
1342
249.6 IPS |
|
|
Image Classification (HP)
|
100% |
2359
438.7 IPS |
|
|
Image Classification (Q)
|
96% |
1630
304.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1296
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1996
32.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2419
39.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6356
7.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
14072
16.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
12151
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1412
112.0 IPS |
|
|
Object Detection (HP)
|
97% |
2692
214.3 IPS |
|
|
Object Detection (Q)
|
94% |
1929
153.8 IPS |
|
|
Face Detection (SP)
|
100% |
2700
32.1 IPS |
|
|
Face Detection (HP)
|
100% |
5570
66.2 IPS |
|
|
Face Detection (Q)
|
100% |
3145
37.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5396
41.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10466
80.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7319
57.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17200
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
27966
36.0 IPS |
|
|
Style Transfer (Q)
|
96% |
22660
29.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3851
142.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4938
182.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3635
134.2 IPS |
|
|
Text Classification (SP)
|
100% |
2460
3.28 KIPS |
|
|
Text Classification (HP)
|
100% |
4308
5.75 KIPS |
|
|
Text Classification (Q)
|
93% |
4268
5.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
3585
61.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6351
109.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6345
109.7 IPS |
