iPhone 13 Pro
Geekbench AI Score
3281
Single Precision Score
19217
Half Precision Score
21606
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 26 2024 05:05 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1346
250.2 IPS |
|
|
Image Classification (HP)
|
100% |
7836
1.46 KIPS |
|
|
Image Classification (Q)
|
96% |
9662
1.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1304
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
11810
191.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
12742
206.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6446
7.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
85157
99.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
93631
109.7 IPS |
|
|
Object Detection (SP)
|
100% |
1482
117.5 IPS |
|
|
Object Detection (HP)
|
99% |
10385
826.1 IPS |
|
|
Object Detection (Q)
|
91% |
11477
917.1 IPS |
|
|
Face Detection (SP)
|
100% |
2709
32.2 IPS |
|
|
Face Detection (HP)
|
100% |
26762
318.0 IPS |
|
|
Face Detection (Q)
|
100% |
33758
401.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5479
42.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
52688
405.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
73089
571.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17770
22.8 IPS |
|
|
Style Transfer (HP)
|
100% |
158631
203.9 IPS |
|
|
Style Transfer (Q)
|
96% |
153232
197.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3974
146.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26789
989.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28042
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2425
3.24 KIPS |
|
|
Text Classification (HP)
|
100% |
2286
3.05 KIPS |
|
|
Text Classification (Q)
|
93% |
2268
3.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
3402
58.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6129
105.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6970
120.5 IPS |
