iPhone 13
Geekbench AI Score
3262
Single Precision Score
5713
Half Precision Score
4637
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 19 2025 06:28 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1358
252.6 IPS |
|
|
Image Classification (HP)
|
100% |
2363
439.5 IPS |
|
|
Image Classification (Q)
|
96% |
1633
304.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1337
21.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1983
32.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2451
39.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6335
7.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
13902
16.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
11737
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
1429
113.3 IPS |
|
|
Object Detection (HP)
|
97% |
2718
216.4 IPS |
|
|
Object Detection (Q)
|
94% |
1912
152.4 IPS |
|
|
Face Detection (SP)
|
100% |
2770
32.9 IPS |
|
|
Face Detection (HP)
|
100% |
5607
66.6 IPS |
|
|
Face Detection (Q)
|
100% |
3140
37.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5239
40.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
10624
82.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7325
57.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16978
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
27552
35.4 IPS |
|
|
Style Transfer (Q)
|
96% |
22580
29.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3790
139.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4771
176.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3631
134.1 IPS |
|
|
Text Classification (SP)
|
100% |
2450
3.27 KIPS |
|
|
Text Classification (HP)
|
100% |
4243
5.66 KIPS |
|
|
Text Classification (Q)
|
93% |
4299
5.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
3629
62.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6297
108.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6312
109.1 IPS |
