iPhone 13 Pro
Geekbench AI Score
3244
Single Precision Score
5737
Half Precision Score
4684
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | February 17 2026 05:58 PM |
| Views | 6 |
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% |
1299
241.6 IPS |
|
|
Image Classification (HP)
|
100% |
2363
439.4 IPS |
|
|
Image Classification (Q)
|
96% |
1628
304.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1290
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1976
32.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2436
39.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6402
7.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
14193
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12340
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1408
111.7 IPS |
|
|
Object Detection (HP)
|
97% |
2722
216.7 IPS |
|
|
Object Detection (Q)
|
94% |
1944
154.9 IPS |
|
|
Face Detection (SP)
|
100% |
2690
32.0 IPS |
|
|
Face Detection (HP)
|
100% |
5578
66.3 IPS |
|
|
Face Detection (Q)
|
100% |
3161
37.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5388
41.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10470
80.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7324
57.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17128
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
27787
35.7 IPS |
|
|
Style Transfer (Q)
|
96% |
23020
29.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3817
140.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4762
175.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3649
134.8 IPS |
|
|
Text Classification (SP)
|
100% |
2467
3.29 KIPS |
|
|
Text Classification (HP)
|
100% |
4305
5.75 KIPS |
|
|
Text Classification (Q)
|
93% |
4292
5.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
3665
63.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6438
111.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6413
110.8 IPS |
