iPhone 13 Pro
Geekbench AI Score
2991
Single Precision Score
4485
Half Precision Score
3881
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 12:30 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.7 |
| 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% |
1417
263.6 IPS |
|
|
Image Classification (HP)
|
100% |
1756
326.6 IPS |
|
|
Image Classification (Q)
|
96% |
1354
252.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1153
18.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1133
18.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1675
27.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5945
6.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
13606
15.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
11686
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
1461
115.9 IPS |
|
|
Object Detection (HP)
|
97% |
2119
168.7 IPS |
|
|
Object Detection (Q)
|
94% |
1617
128.9 IPS |
|
|
Face Detection (SP)
|
100% |
2416
28.7 IPS |
|
|
Face Detection (HP)
|
100% |
4040
48.0 IPS |
|
|
Face Detection (Q)
|
100% |
2596
30.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4962
38.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
8038
62.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
6032
47.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16275
20.9 IPS |
|
|
Style Transfer (HP)
|
100% |
25487
32.8 IPS |
|
|
Style Transfer (Q)
|
96% |
21243
27.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3476
128.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4644
171.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3492
128.9 IPS |
|
|
Text Classification (SP)
|
100% |
2317
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
3609
4.82 KIPS |
|
|
Text Classification (Q)
|
93% |
3599
4.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
2571
44.3 IPS |
|
|
Machine Translation (HP)
|
98% |
4146
71.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4335
74.9 IPS |
