iPhone 13 Pro
Geekbench AI Score
3959
Single Precision Score
4466
Half Precision Score
4217
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | April 02 2026 06:41 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1716
319.1 IPS |
|
|
Image Classification (HP)
|
100% |
1413
262.8 IPS |
|
|
Image Classification (Q)
|
96% |
1627
303.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2765
44.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2824
45.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2740
44.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11248
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
12649
14.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
12294
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1936
153.5 IPS |
|
|
Object Detection (HP)
|
100% |
2048
162.5 IPS |
|
|
Object Detection (Q)
|
92% |
1810
144.5 IPS |
|
|
Face Detection (SP)
|
100% |
4817
57.2 IPS |
|
|
Face Detection (HP)
|
100% |
6080
72.2 IPS |
|
|
Face Detection (Q)
|
100% |
4904
58.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8503
65.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
9173
70.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
8461
66.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18943
24.4 IPS |
|
|
Style Transfer (HP)
|
100% |
23770
30.6 IPS |
|
|
Style Transfer (Q)
|
96% |
23026
29.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4938
182.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5112
188.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4535
167.4 IPS |
|
|
Text Classification (SP)
|
100% |
2459
3.28 KIPS |
|
|
Text Classification (HP)
|
100% |
4219
5.63 KIPS |
|
|
Text Classification (Q)
|
93% |
4223
5.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
974
16.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1070
18.4 IPS |
|
|
Machine Translation (Q)
|
98% |
982
17.0 IPS |
