iPhone 13 Pro
Geekbench AI Score
3911
Single Precision Score
4414
Half Precision Score
4193
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | September 05 2025 03:27 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1555
289.3 IPS |
|
|
Image Classification (HP)
|
100% |
1573
292.6 IPS |
|
|
Image Classification (Q)
|
96% |
1680
313.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2792
45.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2877
46.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2752
44.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11320
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
12713
14.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
12311
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1953
154.9 IPS |
|
|
Object Detection (HP)
|
100% |
1986
157.5 IPS |
|
|
Object Detection (Q)
|
92% |
1881
150.1 IPS |
|
|
Face Detection (SP)
|
100% |
4729
56.2 IPS |
|
|
Face Detection (HP)
|
100% |
6135
72.9 IPS |
|
|
Face Detection (Q)
|
100% |
4943
58.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8448
65.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
9137
70.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
8420
65.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18962
24.4 IPS |
|
|
Style Transfer (HP)
|
100% |
19897
25.6 IPS |
|
|
Style Transfer (Q)
|
96% |
19075
24.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4329
159.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5001
184.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4493
165.9 IPS |
|
|
Text Classification (SP)
|
100% |
2482
3.31 KIPS |
|
|
Text Classification (HP)
|
100% |
4282
5.72 KIPS |
|
|
Text Classification (Q)
|
93% |
4229
5.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
1073
18.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1029
17.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1041
18.0 IPS |
