iPhone 13 Pro
Geekbench AI Score
3276
Single Precision Score
5822
Half Precision Score
4701
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | March 06 2026 07:37 AM |
| Views | 3 |
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% |
1296
241.0 IPS |
|
|
Image Classification (HP)
|
100% |
2360
438.9 IPS |
|
|
Image Classification (Q)
|
96% |
1623
303.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1289
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2000
32.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2434
39.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6569
7.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
14712
17.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12381
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1464
116.2 IPS |
|
|
Object Detection (HP)
|
97% |
2742
218.3 IPS |
|
|
Object Detection (Q)
|
94% |
1946
155.1 IPS |
|
|
Face Detection (SP)
|
100% |
2731
32.5 IPS |
|
|
Face Detection (HP)
|
100% |
5662
67.3 IPS |
|
|
Face Detection (Q)
|
100% |
3219
38.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5258
40.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10546
81.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7364
57.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17705
22.8 IPS |
|
|
Style Transfer (HP)
|
100% |
28249
36.3 IPS |
|
|
Style Transfer (Q)
|
96% |
23097
29.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3957
146.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4921
181.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3634
134.2 IPS |
|
|
Text Classification (SP)
|
100% |
2442
3.26 KIPS |
|
|
Text Classification (HP)
|
100% |
4384
5.85 KIPS |
|
|
Text Classification (Q)
|
93% |
4296
5.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
3618
62.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6458
111.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6483
112.0 IPS |
