iPhone 13 Pro
Geekbench AI Score
3285
Single Precision Score
20090
Half Precision Score
23377
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | Egon2016 |
| Upload Date | August 06 2025 01:09 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1354
251.8 IPS |
|
|
Image Classification (HP)
|
100% |
7913
1.47 KIPS |
|
|
Image Classification (Q)
|
96% |
11058
2.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1273
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
12951
209.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
15084
244.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6554
7.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
93864
109.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
94225
110.4 IPS |
|
|
Object Detection (SP)
|
100% |
1457
115.5 IPS |
|
|
Object Detection (HP)
|
99% |
10783
857.7 IPS |
|
|
Object Detection (Q)
|
91% |
12102
967.0 IPS |
|
|
Face Detection (SP)
|
100% |
2706
32.1 IPS |
|
|
Face Detection (HP)
|
100% |
28451
338.1 IPS |
|
|
Face Detection (Q)
|
100% |
37419
444.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5412
41.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
57806
445.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
79103
618.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17775
22.9 IPS |
|
|
Style Transfer (HP)
|
100% |
152214
195.7 IPS |
|
|
Style Transfer (Q)
|
96% |
163356
210.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3874
143.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27409
1.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28528
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2416
3.22 KIPS |
|
|
Text Classification (HP)
|
100% |
2445
3.26 KIPS |
|
|
Text Classification (Q)
|
93% |
2626
3.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3650
62.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6157
106.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7076
122.3 IPS |
