iPhone 13
Geekbench AI Score
3125
Single Precision Score
5392
Half Precision Score
4298
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Ramonndafonseca |
| Upload Date | October 27 2024 03:41 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| 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% |
1353
251.6 IPS |
|
|
Image Classification (HP)
|
100% |
2347
436.5 IPS |
|
|
Image Classification (Q)
|
96% |
1626
303.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1298
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1949
31.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2422
39.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5802
6.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
12082
14.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
9479
11.1 IPS |
|
|
Object Detection (SP)
|
100% |
1353
107.3 IPS |
|
|
Object Detection (HP)
|
97% |
2576
205.1 IPS |
|
|
Object Detection (Q)
|
94% |
1801
143.5 IPS |
|
|
Face Detection (SP)
|
100% |
2637
31.3 IPS |
|
|
Face Detection (HP)
|
100% |
5416
64.4 IPS |
|
|
Face Detection (Q)
|
100% |
2950
35.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5136
39.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10530
81.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7114
55.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16136
20.7 IPS |
|
|
Style Transfer (HP)
|
100% |
25226
32.4 IPS |
|
|
Style Transfer (Q)
|
96% |
20697
26.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3716
137.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4612
170.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3378
124.7 IPS |
|
|
Text Classification (SP)
|
100% |
2378
3.17 KIPS |
|
|
Text Classification (HP)
|
100% |
4073
5.44 KIPS |
|
|
Text Classification (Q)
|
93% |
4043
5.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3343
57.6 IPS |
|
|
Machine Translation (HP)
|
98% |
5406
93.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5396
93.2 IPS |
