iPhone 13 Pro
Geekbench AI Score
2724
Single Precision Score
4696
Half Precision Score
3998
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | March 18 2025 03:22 AM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
1220
226.9 IPS |
|
|
Image Classification (HP)
|
100% |
2170
403.5 IPS |
|
|
Image Classification (Q)
|
96% |
1521
284.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1168
18.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1774
28.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2237
36.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5213
6.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
10587
12.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
9109
10.7 IPS |
|
|
Object Detection (SP)
|
100% |
1289
102.3 IPS |
|
|
Object Detection (HP)
|
97% |
2493
198.5 IPS |
|
|
Object Detection (Q)
|
94% |
1854
147.8 IPS |
|
|
Face Detection (SP)
|
100% |
2303
27.4 IPS |
|
|
Face Detection (HP)
|
100% |
5119
60.8 IPS |
|
|
Face Detection (Q)
|
100% |
2914
34.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4730
36.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
9614
74.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
6740
52.7 IPS |
|
|
Style Transfer (SP)
|
100% |
14462
18.6 IPS |
|
|
Style Transfer (HP)
|
100% |
12951
16.6 IPS |
|
|
Style Transfer (Q)
|
96% |
13162
17.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2083
76.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3541
130.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3109
114.8 IPS |
|
|
Text Classification (SP)
|
100% |
2297
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4065
5.43 KIPS |
|
|
Text Classification (Q)
|
93% |
4005
5.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3117
53.7 IPS |
|
|
Machine Translation (HP)
|
98% |
5599
96.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5645
97.6 IPS |
