iPhone 13
Geekbench AI Score
3002
Single Precision Score
4454
Half Precision Score
3662
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | compaqdrew |
| Upload Date | August 18 2024 10:39 PM |
| Views | 5 |
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% |
1420
264.1 IPS |
|
|
Image Classification (HP)
|
100% |
1763
327.9 IPS |
|
|
Image Classification (Q)
|
99% |
1772
330.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1182
19.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1139
18.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
1136
18.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5879
6.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
13601
15.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
11618
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
1431
113.5 IPS |
|
|
Object Detection (HP)
|
97% |
2099
167.1 IPS |
|
|
Object Detection (Q)
|
94% |
1602
127.7 IPS |
|
|
Face Detection (SP)
|
100% |
2443
29.0 IPS |
|
|
Face Detection (HP)
|
100% |
3995
47.5 IPS |
|
|
Face Detection (Q)
|
100% |
2568
30.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4901
37.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
7943
61.4 IPS |
|
|
Depth Estimation (Q)
|
96% |
3662
28.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16168
20.8 IPS |
|
|
Style Transfer (HP)
|
100% |
25259
32.5 IPS |
|
|
Style Transfer (Q)
|
100% |
25091
32.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3481
128.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4632
171.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3431
127.1 IPS |
|
|
Text Classification (SP)
|
100% |
2346
3.13 KIPS |
|
|
Text Classification (HP)
|
100% |
3327
4.44 KIPS |
|
|
Text Classification (Q)
|
93% |
3337
4.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
2668
46.0 IPS |
|
|
Machine Translation (HP)
|
98% |
4347
75.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4286
74.1 IPS |
