iPhone 13 Pro
Geekbench AI Score
3286
Single Precision Score
19000
Half Precision Score
22413
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | February 17 2026 06:02 PM |
| Views | 7 |
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% |
1349
250.9 IPS |
|
|
Image Classification (HP)
|
100% |
7931
1.47 KIPS |
|
|
Image Classification (Q)
|
96% |
8547
1.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1288
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
11760
190.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
15402
249.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6478
7.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
86706
101.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
94858
111.2 IPS |
|
|
Object Detection (SP)
|
100% |
1454
115.3 IPS |
|
|
Object Detection (HP)
|
99% |
10315
820.6 IPS |
|
|
Object Detection (Q)
|
91% |
11981
957.3 IPS |
|
|
Face Detection (SP)
|
100% |
2722
32.3 IPS |
|
|
Face Detection (HP)
|
100% |
29360
348.9 IPS |
|
|
Face Detection (Q)
|
100% |
37040
440.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5330
41.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
56934
438.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
74191
579.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17661
22.7 IPS |
|
|
Style Transfer (HP)
|
100% |
152412
195.9 IPS |
|
|
Style Transfer (Q)
|
96% |
171577
221.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3866
142.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26507
978.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27734
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
2472
3.30 KIPS |
|
|
Text Classification (HP)
|
100% |
1773
2.37 KIPS |
|
|
Text Classification (Q)
|
93% |
2366
3.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
3669
63.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6140
105.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6911
119.4 IPS |
