iPhone 13 Pro
Geekbench AI Score
2302
Single Precision Score
3525
Half Precision Score
3239
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | Rikyz25 |
| Upload Date | August 23 2025 09:07 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
871
161.9 IPS |
|
|
Image Classification (HP)
|
100% |
1615
300.4 IPS |
|
|
Image Classification (Q)
|
96% |
946
176.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1122
18.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1007
16.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1261
20.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2340
2.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
5843
6.82 IPS |
|
|
Pose Estimation (Q)
|
95% |
4683
5.49 IPS |
|
|
Object Detection (SP)
|
100% |
579
45.9 IPS |
|
|
Object Detection (HP)
|
97% |
1350
107.5 IPS |
|
|
Object Detection (Q)
|
94% |
1038
82.8 IPS |
|
|
Face Detection (SP)
|
100% |
2237
26.6 IPS |
|
|
Face Detection (HP)
|
100% |
2148
25.5 IPS |
|
|
Face Detection (Q)
|
100% |
2328
27.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3446
26.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
5172
40.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
5486
42.9 IPS |
|
|
Style Transfer (SP)
|
100% |
13916
17.9 IPS |
|
|
Style Transfer (HP)
|
100% |
23602
30.3 IPS |
|
|
Style Transfer (Q)
|
96% |
19974
25.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3828
141.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4938
182.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3493
129.0 IPS |
|
|
Text Classification (SP)
|
100% |
2306
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4399
5.87 KIPS |
|
|
Text Classification (Q)
|
93% |
4347
5.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
3335
57.4 IPS |
|
|
Machine Translation (HP)
|
98% |
4056
70.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5673
98.0 IPS |
