iPhone 13
Geekbench AI Score
2265
Single Precision Score
2246
Half Precision Score
2188
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | deutros |
| Upload Date | August 16 2024 01:11 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
786
146.2 IPS |
|
|
Image Classification (HP)
|
100% |
486
90.5 IPS |
|
|
Image Classification (Q)
|
99% |
795
148.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1944
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1988
32.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
1993
32.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9098
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
9908
11.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
8908
10.4 IPS |
|
|
Object Detection (SP)
|
100% |
937
74.3 IPS |
|
|
Object Detection (HP)
|
100% |
893
70.8 IPS |
|
|
Object Detection (Q)
|
92% |
1269
101.3 IPS |
|
|
Face Detection (SP)
|
100% |
4015
47.7 IPS |
|
|
Face Detection (HP)
|
100% |
4686
55.7 IPS |
|
|
Face Detection (Q)
|
100% |
3117
37.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7122
54.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
7425
57.2 IPS |
|
|
Depth Estimation (Q)
|
97% |
7882
60.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16417
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
18893
24.3 IPS |
|
|
Style Transfer (Q)
|
100% |
18655
24.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2840
104.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2846
105.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2237
82.9 IPS |
|
|
Text Classification (SP)
|
100% |
357
476.4 IPS |
|
|
Text Classification (HP)
|
100% |
359
478.7 IPS |
|
|
Text Classification (Q)
|
93% |
203
272.1 IPS |
|
|
Machine Translation (SP)
|
100% |
575
9.91 IPS |
|
|
Machine Translation (HP)
|
100% |
570
9.82 IPS |
|
|
Machine Translation (Q)
|
98% |
675
11.7 IPS |
