iPhone 13
Geekbench AI Score
3226
Single Precision Score
5656
Half Precision Score
4527
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ocornielje |
| Upload Date | December 08 2024 02:21 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1277
237.5 IPS |
|
|
Image Classification (HP)
|
100% |
2344
435.9 IPS |
|
|
Image Classification (Q)
|
96% |
1630
304.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1344
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2042
33.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2359
38.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6161
7.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
13933
16.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
11818
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
1383
109.7 IPS |
|
|
Object Detection (HP)
|
97% |
2676
213.1 IPS |
|
|
Object Detection (Q)
|
94% |
1907
152.0 IPS |
|
|
Face Detection (SP)
|
100% |
2787
33.1 IPS |
|
|
Face Detection (HP)
|
100% |
5628
66.9 IPS |
|
|
Face Detection (Q)
|
100% |
3095
36.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5438
41.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11174
86.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7595
59.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17442
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
26495
34.1 IPS |
|
|
Style Transfer (Q)
|
96% |
21857
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3825
141.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4794
177.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3463
127.9 IPS |
|
|
Text Classification (SP)
|
100% |
2452
3.27 KIPS |
|
|
Text Classification (HP)
|
100% |
4180
5.58 KIPS |
|
|
Text Classification (Q)
|
93% |
4161
5.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
3376
58.1 IPS |
|
|
Machine Translation (HP)
|
98% |
5632
97.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5639
97.4 IPS |
