iPhone 13 Pro
Geekbench AI Score
3181
Single Precision Score
19344
Half Precision Score
22728
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 26 2025 02:33 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1266
235.5 IPS |
|
|
Image Classification (HP)
|
100% |
7827
1.46 KIPS |
|
|
Image Classification (Q)
|
96% |
10381
1.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1272
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
12367
200.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
15224
246.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6148
7.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
80687
94.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
82883
97.1 IPS |
|
|
Object Detection (SP)
|
100% |
1351
107.2 IPS |
|
|
Object Detection (HP)
|
99% |
10323
821.2 IPS |
|
|
Object Detection (Q)
|
91% |
12106
967.3 IPS |
|
|
Face Detection (SP)
|
100% |
2664
31.6 IPS |
|
|
Face Detection (HP)
|
100% |
23779
282.6 IPS |
|
|
Face Detection (Q)
|
100% |
36931
438.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5250
40.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
57102
439.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
75544
590.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17424
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
151997
195.4 IPS |
|
|
Style Transfer (Q)
|
96% |
141381
182.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3656
135.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29958
1.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34990
1.29 KIPS |
|
|
Text Classification (SP)
|
100% |
2601
3.47 KIPS |
|
|
Text Classification (HP)
|
100% |
2417
3.23 KIPS |
|
|
Text Classification (Q)
|
93% |
2442
3.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
3426
59.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6090
104.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6884
119.0 IPS |
