iPhone 13 Pro
Geekbench AI Score
3279
Single Precision Score
16051
Half Precision Score
18185
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 03:22 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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 | 5.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1354
251.9 IPS |
|
|
Image Classification (HP)
|
100% |
7940
1.48 KIPS |
|
|
Image Classification (Q)
|
96% |
10035
1.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1307
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
6945
112.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
7833
127.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6469
7.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
86163
100.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
93331
109.4 IPS |
|
|
Object Detection (SP)
|
100% |
1476
117.0 IPS |
|
|
Object Detection (HP)
|
99% |
10378
825.6 IPS |
|
|
Object Detection (Q)
|
91% |
11651
931.0 IPS |
|
|
Face Detection (SP)
|
100% |
2712
32.2 IPS |
|
|
Face Detection (HP)
|
100% |
25189
299.3 IPS |
|
|
Face Detection (Q)
|
100% |
31985
380.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5458
42.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
53445
411.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
74705
583.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17701
22.8 IPS |
|
|
Style Transfer (HP)
|
100% |
151046
194.2 IPS |
|
|
Style Transfer (Q)
|
96% |
155277
200.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3915
144.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26795
989.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28585
1.06 KIPS |
|
|
Text Classification (SP)
|
100% |
2415
3.22 KIPS |
|
|
Text Classification (HP)
|
100% |
1925
2.57 KIPS |
|
|
Text Classification (Q)
|
93% |
1969
2.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
3435
59.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2196
37.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2216
38.3 IPS |
