iPhone 13
Geekbench AI Score
3298
Single Precision Score
16973
Half Precision Score
18600
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 04:51 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% |
1364
253.7 IPS |
|
|
Image Classification (HP)
|
100% |
8989
1.67 KIPS |
|
|
Image Classification (Q)
|
96% |
10882
2.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1351
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
6824
110.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
7608
123.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6487
7.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
86717
101.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
92754
108.7 IPS |
|
|
Object Detection (SP)
|
100% |
1415
112.2 IPS |
|
|
Object Detection (HP)
|
99% |
10737
854.1 IPS |
|
|
Object Detection (Q)
|
91% |
11680
933.3 IPS |
|
|
Face Detection (SP)
|
100% |
2858
34.0 IPS |
|
|
Face Detection (HP)
|
100% |
27766
329.9 IPS |
|
|
Face Detection (Q)
|
100% |
32607
387.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5526
42.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
52993
408.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
73897
577.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17396
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
155979
200.5 IPS |
|
|
Style Transfer (Q)
|
96% |
153552
198.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3904
144.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28124
1.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28659
1.06 KIPS |
|
|
Text Classification (SP)
|
100% |
2412
3.22 KIPS |
|
|
Text Classification (HP)
|
100% |
2407
3.21 KIPS |
|
|
Text Classification (Q)
|
93% |
2397
3.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3482
60.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2237
38.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2174
37.6 IPS |
