iPhone 13
Geekbench AI Score
2910
Single Precision Score
4403
Half Precision Score
3599
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | pingwinator |
| Upload Date | August 16 2024 01:21 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 3.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1400
260.4 IPS |
|
|
Image Classification (HP)
|
100% |
1775
330.1 IPS |
|
|
Image Classification (Q)
|
99% |
1766
329.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1107
17.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1108
18.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
1107
17.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5473
6.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
12719
14.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
10691
12.5 IPS |
|
|
Object Detection (SP)
|
100% |
1391
110.4 IPS |
|
|
Object Detection (HP)
|
97% |
2057
163.8 IPS |
|
|
Object Detection (Q)
|
94% |
1574
125.4 IPS |
|
|
Face Detection (SP)
|
100% |
2369
28.2 IPS |
|
|
Face Detection (HP)
|
100% |
3855
45.8 IPS |
|
|
Face Detection (Q)
|
100% |
2424
28.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4728
36.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
7620
58.9 IPS |
|
|
Depth Estimation (Q)
|
96% |
3486
27.0 IPS |
|
|
Style Transfer (SP)
|
100% |
15682
20.2 IPS |
|
|
Style Transfer (HP)
|
100% |
24473
31.5 IPS |
|
|
Style Transfer (Q)
|
100% |
24299
31.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3397
125.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4587
169.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3363
124.6 IPS |
|
|
Text Classification (SP)
|
100% |
2366
3.16 KIPS |
|
|
Text Classification (HP)
|
100% |
3822
5.10 KIPS |
|
|
Text Classification (Q)
|
93% |
3805
5.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
2618
45.1 IPS |
|
|
Machine Translation (HP)
|
98% |
4228
73.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4221
73.0 IPS |
