iPhone 13
Geekbench AI Score
3109
Single Precision Score
5375
Half Precision Score
4307
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 02:07 PM |
| 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% |
1354
251.8 IPS |
|
|
Image Classification (HP)
|
100% |
2359
438.6 IPS |
|
|
Image Classification (Q)
|
96% |
1624
303.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1311
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1934
31.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2360
38.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5516
6.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
12562
14.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
10418
12.2 IPS |
|
|
Object Detection (SP)
|
100% |
1342
106.5 IPS |
|
|
Object Detection (HP)
|
97% |
2595
206.6 IPS |
|
|
Object Detection (Q)
|
94% |
1819
144.9 IPS |
|
|
Face Detection (SP)
|
100% |
2705
32.1 IPS |
|
|
Face Detection (HP)
|
100% |
5294
62.9 IPS |
|
|
Face Detection (Q)
|
100% |
2951
35.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5081
39.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10495
81.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7055
55.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16055
20.6 IPS |
|
|
Style Transfer (HP)
|
100% |
24822
31.9 IPS |
|
|
Style Transfer (Q)
|
96% |
20380
26.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3632
134.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4534
167.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3296
121.7 IPS |
|
|
Text Classification (SP)
|
100% |
2405
3.21 KIPS |
|
|
Text Classification (HP)
|
100% |
4072
5.43 KIPS |
|
|
Text Classification (Q)
|
93% |
4074
5.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
3341
57.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5320
91.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5311
91.8 IPS |
