iPhone 13 Pro
Geekbench AI Score
3318
Single Precision Score
5822
Half Precision Score
4715
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | February 02 2026 05:24 AM |
| Views | 4 |
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% |
1351
251.2 IPS |
|
|
Image Classification (HP)
|
100% |
2376
441.9 IPS |
|
|
Image Classification (Q)
|
96% |
1642
306.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1283
20.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1973
32.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2438
39.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6578
7.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
14802
17.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12483
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1460
115.8 IPS |
|
|
Object Detection (HP)
|
97% |
2733
217.6 IPS |
|
|
Object Detection (Q)
|
94% |
1948
155.3 IPS |
|
|
Face Detection (SP)
|
100% |
2707
32.2 IPS |
|
|
Face Detection (HP)
|
100% |
5644
67.1 IPS |
|
|
Face Detection (Q)
|
100% |
3222
38.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5428
41.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
10528
81.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7375
57.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17849
22.9 IPS |
|
|
Style Transfer (HP)
|
100% |
28294
36.4 IPS |
|
|
Style Transfer (Q)
|
96% |
23274
30.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4037
149.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5117
189.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3687
136.1 IPS |
|
|
Text Classification (SP)
|
100% |
2491
3.32 KIPS |
|
|
Text Classification (HP)
|
100% |
4283
5.72 KIPS |
|
|
Text Classification (Q)
|
93% |
4276
5.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
3690
63.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6410
110.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6408
110.7 IPS |
