iPhone 13 Pro
Geekbench AI Score
3308
Single Precision Score
20449
Half Precision Score
23079
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | February 02 2026 05:34 AM |
| 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% |
1351
251.2 IPS |
|
|
Image Classification (HP)
|
100% |
8702
1.62 KIPS |
|
|
Image Classification (Q)
|
96% |
9098
1.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1308
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
12812
207.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
15051
244.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6470
7.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
93308
108.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
93979
110.1 IPS |
|
|
Object Detection (SP)
|
100% |
1466
116.3 IPS |
|
|
Object Detection (HP)
|
99% |
11163
888.0 IPS |
|
|
Object Detection (Q)
|
91% |
12189
974.0 IPS |
|
|
Face Detection (SP)
|
100% |
2732
32.5 IPS |
|
|
Face Detection (HP)
|
100% |
29272
347.8 IPS |
|
|
Face Detection (Q)
|
100% |
36391
432.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5365
41.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
58108
447.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
83206
650.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17939
23.1 IPS |
|
|
Style Transfer (HP)
|
100% |
160290
206.1 IPS |
|
|
Style Transfer (Q)
|
96% |
163344
210.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3887
143.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26983
996.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
30743
1.14 KIPS |
|
|
Text Classification (SP)
|
100% |
2487
3.32 KIPS |
|
|
Text Classification (HP)
|
100% |
2439
3.26 KIPS |
|
|
Text Classification (Q)
|
93% |
2540
3.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3688
63.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6138
105.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7077
122.3 IPS |
