iPhone 13
Geekbench AI Score
3202
Single Precision Score
5520
Half Precision Score
4428
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | precisionxt |
| Upload Date | December 11 2024 03:25 PM |
| Views | 3 |
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% |
1337
248.7 IPS |
|
|
Image Classification (HP)
|
100% |
2359
438.7 IPS |
|
|
Image Classification (Q)
|
96% |
1631
304.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1344
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1985
32.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2439
39.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6059
7.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
13041
15.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
11064
13.0 IPS |
|
|
Object Detection (SP)
|
100% |
1418
112.5 IPS |
|
|
Object Detection (HP)
|
97% |
2677
213.1 IPS |
|
|
Object Detection (Q)
|
94% |
1865
148.7 IPS |
|
|
Face Detection (SP)
|
100% |
2776
33.0 IPS |
|
|
Face Detection (HP)
|
100% |
5519
65.6 IPS |
|
|
Face Detection (Q)
|
100% |
3026
36.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5286
40.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10908
84.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7152
55.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16503
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
25793
33.2 IPS |
|
|
Style Transfer (Q)
|
96% |
21157
27.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3716
137.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4556
168.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3364
124.2 IPS |
|
|
Text Classification (SP)
|
100% |
2412
3.22 KIPS |
|
|
Text Classification (HP)
|
100% |
4144
5.53 KIPS |
|
|
Text Classification (Q)
|
93% |
4096
5.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3387
58.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5490
94.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5601
96.8 IPS |
