iPhone 13
Geekbench AI Score
3199
Single Precision Score
5547
Half Precision Score
4443
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 19 2024 01:49 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1359
252.8 IPS |
|
|
Image Classification (HP)
|
100% |
2363
439.5 IPS |
|
|
Image Classification (Q)
|
96% |
1628
303.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1335
21.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1987
32.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2435
39.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6033
7.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
13163
15.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11108
13.0 IPS |
|
|
Object Detection (SP)
|
100% |
1397
110.8 IPS |
|
|
Object Detection (HP)
|
97% |
2668
212.4 IPS |
|
|
Object Detection (Q)
|
94% |
1847
147.2 IPS |
|
|
Face Detection (SP)
|
100% |
2739
32.5 IPS |
|
|
Face Detection (HP)
|
100% |
5558
66.0 IPS |
|
|
Face Detection (Q)
|
100% |
3047
36.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5302
40.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
10827
83.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7395
57.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16722
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
25947
33.4 IPS |
|
|
Style Transfer (Q)
|
96% |
21100
27.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3730
137.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4623
170.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3415
126.1 IPS |
|
|
Text Classification (SP)
|
100% |
2398
3.20 KIPS |
|
|
Text Classification (HP)
|
100% |
4205
5.61 KIPS |
|
|
Text Classification (Q)
|
93% |
4136
5.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
3380
58.2 IPS |
|
|
Machine Translation (HP)
|
98% |
5513
95.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5497
95.0 IPS |
