iPhone 13
Geekbench AI Score
3227
Single Precision Score
17144
Half Precision Score
18783
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 11 2024 03:33 PM |
| 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 |
| Model ID | iPhone14,5 |
| Motherboard | D17AP |
| 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 | 3.58 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1371
255.0 IPS |
|
|
Image Classification (HP)
|
100% |
8459
1.57 KIPS |
|
|
Image Classification (Q)
|
96% |
10438
1.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1370
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
7725
125.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
8094
131.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6149
7.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
91505
106.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
95154
111.5 IPS |
|
|
Object Detection (SP)
|
100% |
1419
112.5 IPS |
|
|
Object Detection (HP)
|
99% |
10605
843.6 IPS |
|
|
Object Detection (Q)
|
91% |
11814
944.0 IPS |
|
|
Face Detection (SP)
|
100% |
2779
33.0 IPS |
|
|
Face Detection (HP)
|
100% |
28318
336.5 IPS |
|
|
Face Detection (Q)
|
100% |
35081
416.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5209
40.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
56183
432.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
71035
555.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16666
21.4 IPS |
|
|
Style Transfer (HP)
|
100% |
153495
197.3 IPS |
|
|
Style Transfer (Q)
|
96% |
161722
208.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3768
139.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30000
1.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30364
1.12 KIPS |
|
|
Text Classification (SP)
|
100% |
2424
3.24 KIPS |
|
|
Text Classification (HP)
|
100% |
2372
3.17 KIPS |
|
|
Text Classification (Q)
|
93% |
2366
3.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
3401
58.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1991
34.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1988
34.3 IPS |
