iPhone 13
Geekbench AI Score
1587
Single Precision Score
2628
Half Precision Score
2107
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 07:46 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% |
594
110.4 IPS |
|
|
Image Classification (HP)
|
100% |
1041
193.6 IPS |
|
|
Image Classification (Q)
|
96% |
717
133.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
709
11.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
995
16.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1144
18.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2974
3.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
6361
7.42 IPS |
|
|
Pose Estimation (Q)
|
95% |
5456
6.39 IPS |
|
|
Object Detection (SP)
|
100% |
655
51.9 IPS |
|
|
Object Detection (HP)
|
97% |
1215
96.7 IPS |
|
|
Object Detection (Q)
|
94% |
850
67.7 IPS |
|
|
Face Detection (SP)
|
100% |
1609
19.1 IPS |
|
|
Face Detection (HP)
|
100% |
2624
31.2 IPS |
|
|
Face Detection (Q)
|
100% |
1479
17.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2486
19.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
4863
37.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
3319
25.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7903
10.2 IPS |
|
|
Style Transfer (HP)
|
100% |
12087
15.5 IPS |
|
|
Style Transfer (Q)
|
96% |
10075
13.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1808
66.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2220
82.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1588
58.6 IPS |
|
|
Text Classification (SP)
|
100% |
1156
1.54 KIPS |
|
|
Text Classification (HP)
|
100% |
1985
2.65 KIPS |
|
|
Text Classification (Q)
|
93% |
1994
2.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
1875
32.3 IPS |
|
|
Machine Translation (HP)
|
98% |
2896
50.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2903
50.2 IPS |
