iPhone 13
Geekbench AI Score
3271
Single Precision Score
5644
Half Precision Score
4568
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 18 2024 12:39 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1352
251.4 IPS |
|
|
Image Classification (HP)
|
100% |
2355
437.9 IPS |
|
|
Image Classification (Q)
|
96% |
1627
303.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1344
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2026
32.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2509
40.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6403
7.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
13882
16.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
11707
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
1457
115.6 IPS |
|
|
Object Detection (HP)
|
97% |
2706
215.4 IPS |
|
|
Object Detection (Q)
|
94% |
1914
152.6 IPS |
|
|
Face Detection (SP)
|
100% |
2796
33.2 IPS |
|
|
Face Detection (HP)
|
100% |
5709
67.8 IPS |
|
|
Face Detection (Q)
|
100% |
3186
37.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5472
42.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
11102
85.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7650
59.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17224
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
26792
34.4 IPS |
|
|
Style Transfer (Q)
|
96% |
22103
28.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3775
139.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4699
173.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3495
129.1 IPS |
|
|
Text Classification (SP)
|
100% |
2423
3.23 KIPS |
|
|
Text Classification (HP)
|
100% |
4049
5.40 KIPS |
|
|
Text Classification (Q)
|
93% |
4080
5.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
3435
59.2 IPS |
|
|
Machine Translation (HP)
|
98% |
5666
97.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5636
97.4 IPS |
