iPhone 13
Geekbench AI Score
3253
Single Precision Score
5615
Half Precision Score
4544
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 06 2025 12:59 PM |
| Views | 1 |
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% |
1349
250.9 IPS |
|
|
Image Classification (HP)
|
100% |
2354
437.7 IPS |
|
|
Image Classification (Q)
|
96% |
1635
305.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1336
21.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2026
32.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2505
40.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6331
7.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
13843
16.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
11658
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
1446
114.7 IPS |
|
|
Object Detection (HP)
|
97% |
2714
216.0 IPS |
|
|
Object Detection (Q)
|
94% |
1916
152.7 IPS |
|
|
Face Detection (SP)
|
100% |
2747
32.6 IPS |
|
|
Face Detection (HP)
|
100% |
5641
67.0 IPS |
|
|
Face Detection (Q)
|
100% |
3141
37.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5370
41.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
11008
85.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7493
58.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17278
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
26514
34.1 IPS |
|
|
Style Transfer (Q)
|
96% |
21947
28.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3843
141.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4607
170.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3415
126.1 IPS |
|
|
Text Classification (SP)
|
100% |
2411
3.22 KIPS |
|
|
Text Classification (HP)
|
100% |
4102
5.47 KIPS |
|
|
Text Classification (Q)
|
93% |
4137
5.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
3408
58.7 IPS |
|
|
Machine Translation (HP)
|
98% |
5596
96.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5632
97.3 IPS |
