iPhone 13 Pro
Geekbench AI Score
3293
Single Precision Score
19791
Half Precision Score
21748
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | NycDriipy |
| Upload Date | August 01 2025 06:54 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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 | 5.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1363
253.4 IPS |
|
|
Image Classification (HP)
|
100% |
7704
1.43 KIPS |
|
|
Image Classification (Q)
|
96% |
10897
2.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1301
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
13216
214.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
13553
219.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6278
7.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
81270
94.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
93930
110.1 IPS |
|
|
Object Detection (SP)
|
100% |
1450
115.0 IPS |
|
|
Object Detection (HP)
|
99% |
11178
889.2 IPS |
|
|
Object Detection (Q)
|
91% |
11982
957.4 IPS |
|
|
Face Detection (SP)
|
100% |
2691
32.0 IPS |
|
|
Face Detection (HP)
|
100% |
28802
342.2 IPS |
|
|
Face Detection (Q)
|
100% |
36786
437.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5438
41.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
58840
453.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
68252
533.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17309
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
157379
202.3 IPS |
|
|
Style Transfer (Q)
|
96% |
148574
191.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3842
141.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29405
1.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29638
1.09 KIPS |
|
|
Text Classification (SP)
|
100% |
2595
3.46 KIPS |
|
|
Text Classification (HP)
|
100% |
2057
2.75 KIPS |
|
|
Text Classification (Q)
|
93% |
1763
2.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3686
63.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6179
106.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7307
126.3 IPS |
