iPhone 13 Pro
Geekbench AI Score
3288
Single Precision Score
19263
Half Precision Score
22692
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | March 10 2026 04:08 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1354
251.8 IPS |
|
|
Image Classification (HP)
|
100% |
8315
1.55 KIPS |
|
|
Image Classification (Q)
|
96% |
9633
1.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1288
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
13368
216.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
14972
242.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6525
7.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
92049
107.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
95769
112.2 IPS |
|
|
Object Detection (SP)
|
100% |
1433
113.7 IPS |
|
|
Object Detection (HP)
|
99% |
10286
818.2 IPS |
|
|
Object Detection (Q)
|
91% |
11684
933.6 IPS |
|
|
Face Detection (SP)
|
100% |
2674
31.8 IPS |
|
|
Face Detection (HP)
|
100% |
29296
348.1 IPS |
|
|
Face Detection (Q)
|
100% |
36589
434.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5327
41.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
55036
424.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
72391
565.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17892
23.0 IPS |
|
|
Style Transfer (HP)
|
100% |
167697
215.6 IPS |
|
|
Style Transfer (Q)
|
96% |
153199
197.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3873
143.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26424
975.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
31485
1.16 KIPS |
|
|
Text Classification (SP)
|
100% |
2474
3.30 KIPS |
|
|
Text Classification (HP)
|
100% |
1515
2.02 KIPS |
|
|
Text Classification (Q)
|
93% |
2496
3.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3719
64.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6177
106.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7035
121.6 IPS |
