iPhone 13 Pro
Geekbench AI Score
3125
Single Precision Score
5759
Half Precision Score
4692
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 12 2025 12:14 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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 | 5.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1265
235.3 IPS |
|
|
Image Classification (HP)
|
100% |
2426
451.2 IPS |
|
|
Image Classification (Q)
|
96% |
1682
314.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1261
20.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1974
32.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2438
39.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5889
6.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
14177
16.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
11939
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
1322
104.8 IPS |
|
|
Object Detection (HP)
|
97% |
2728
217.2 IPS |
|
|
Object Detection (Q)
|
94% |
1959
156.2 IPS |
|
|
Face Detection (SP)
|
100% |
2613
31.0 IPS |
|
|
Face Detection (HP)
|
100% |
5676
67.4 IPS |
|
|
Face Detection (Q)
|
100% |
3179
37.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5155
39.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10482
81.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7395
57.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16764
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
27268
35.1 IPS |
|
|
Style Transfer (Q)
|
96% |
22445
29.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3610
133.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4761
175.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3689
136.2 IPS |
|
|
Text Classification (SP)
|
100% |
2570
3.43 KIPS |
|
|
Text Classification (HP)
|
99% |
4159
5.55 KIPS |
|
|
Text Classification (Q)
|
93% |
4200
5.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
3422
58.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6749
116.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6595
114.0 IPS |
