iPhone 13
Geekbench AI Score
2585
Single Precision Score
2823
Half Precision Score
2497
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 14 2024 06:24 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
878
163.2 IPS |
|
|
Image Classification (HP)
|
100% |
781
145.2 IPS |
|
|
Image Classification (Q)
|
97% |
621
116.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1970
31.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2042
33.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1866
30.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9175
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
9996
11.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
9117
10.7 IPS |
|
|
Object Detection (SP)
|
100% |
1066
84.6 IPS |
|
|
Object Detection (HP)
|
100% |
1004
79.6 IPS |
|
|
Object Detection (Q)
|
91% |
810
64.7 IPS |
|
|
Face Detection (SP)
|
100% |
3479
41.3 IPS |
|
|
Face Detection (HP)
|
100% |
4878
58.0 IPS |
|
|
Face Detection (Q)
|
100% |
3146
37.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6450
49.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
6025
46.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
5959
46.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16694
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
18998
24.4 IPS |
|
|
Style Transfer (Q)
|
96% |
17596
22.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2826
104.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2853
105.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2346
86.6 IPS |
|
|
Text Classification (SP)
|
100% |
2411
3.22 KIPS |
|
|
Text Classification (HP)
|
100% |
4094
5.46 KIPS |
|
|
Text Classification (Q)
|
93% |
4057
5.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
309
5.31 IPS |
|
|
Machine Translation (HP)
|
100% |
309
5.33 IPS |
|
|
Machine Translation (Q)
|
98% |
351
6.07 IPS |
