iPhone 13 Pro
Geekbench AI Score
3204
Single Precision Score
20418
Half Precision Score
23425
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 19 2025 03:41 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1350
251.1 IPS |
|
|
Image Classification (HP)
|
100% |
8213
1.53 KIPS |
|
|
Image Classification (Q)
|
96% |
10717
2.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1269
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
12168
197.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
15665
253.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6286
7.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
94396
110.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
96842
113.5 IPS |
|
|
Object Detection (SP)
|
100% |
1425
113.0 IPS |
|
|
Object Detection (HP)
|
99% |
11152
887.2 IPS |
|
|
Object Detection (Q)
|
91% |
11137
889.9 IPS |
|
|
Face Detection (SP)
|
100% |
2627
31.2 IPS |
|
|
Face Detection (HP)
|
100% |
29476
350.2 IPS |
|
|
Face Detection (Q)
|
100% |
37031
440.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5148
39.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
57949
446.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
81780
639.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17154
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
167531
215.4 IPS |
|
|
Style Transfer (Q)
|
96% |
165708
213.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3776
139.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27400
1.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31132
1.15 KIPS |
|
|
Text Classification (SP)
|
100% |
2430
3.24 KIPS |
|
|
Text Classification (HP)
|
100% |
2466
3.29 KIPS |
|
|
Text Classification (Q)
|
93% |
2478
3.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3493
60.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6193
106.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7099
122.7 IPS |
