iPhone 13 Pro
Geekbench AI Score
3019
Single Precision Score
4509
Half Precision Score
3871
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 15 2025 01:43 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.7.1 |
| 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 | 5.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1428
265.5 IPS |
|
|
Image Classification (HP)
|
100% |
1789
332.8 IPS |
|
|
Image Classification (Q)
|
96% |
1372
256.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1191
19.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1157
18.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1675
27.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5985
6.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
13705
16.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
11776
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
1479
117.3 IPS |
|
|
Object Detection (HP)
|
97% |
2129
169.5 IPS |
|
|
Object Detection (Q)
|
94% |
1627
129.7 IPS |
|
|
Face Detection (SP)
|
100% |
2446
29.1 IPS |
|
|
Face Detection (HP)
|
100% |
4082
48.5 IPS |
|
|
Face Detection (Q)
|
100% |
2612
31.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4948
38.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
8034
62.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
6055
47.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16432
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
25462
32.7 IPS |
|
|
Style Transfer (Q)
|
96% |
21257
27.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3556
131.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4690
173.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3493
129.0 IPS |
|
|
Text Classification (SP)
|
100% |
2368
3.16 KIPS |
|
|
Text Classification (HP)
|
100% |
3406
4.55 KIPS |
|
|
Text Classification (Q)
|
93% |
3383
4.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
2497
43.0 IPS |
|
|
Machine Translation (HP)
|
98% |
4315
74.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4326
74.8 IPS |
