iPhone 13
Geekbench AI Score
3169
Single Precision Score
5522
Half Precision Score
4471
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 26 2024 07:49 AM |
| Views | 1 |
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% |
1350
251.0 IPS |
|
|
Image Classification (HP)
|
100% |
2349
436.9 IPS |
|
|
Image Classification (Q)
|
96% |
1632
304.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1315
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1991
32.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2454
39.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5004
5.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
11398
13.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
9849
11.5 IPS |
|
|
Object Detection (SP)
|
100% |
1449
115.0 IPS |
|
|
Object Detection (HP)
|
97% |
2726
217.1 IPS |
|
|
Object Detection (Q)
|
94% |
1913
152.5 IPS |
|
|
Face Detection (SP)
|
100% |
2824
33.6 IPS |
|
|
Face Detection (HP)
|
100% |
5693
67.6 IPS |
|
|
Face Detection (Q)
|
100% |
3161
37.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5368
41.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
10986
84.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7533
58.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16295
20.9 IPS |
|
|
Style Transfer (HP)
|
100% |
26773
34.4 IPS |
|
|
Style Transfer (Q)
|
96% |
21870
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3857
142.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4693
173.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3512
129.7 IPS |
|
|
Text Classification (SP)
|
100% |
2428
3.24 KIPS |
|
|
Text Classification (HP)
|
100% |
4082
5.45 KIPS |
|
|
Text Classification (Q)
|
93% |
4059
5.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3434
59.1 IPS |
|
|
Machine Translation (HP)
|
98% |
5658
97.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5703
98.5 IPS |
