iPhone 13 Pro
Geekbench AI Score
2766
Single Precision Score
5043
Half Precision Score
3906
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | vkvishnu |
| Upload Date | August 22 2024 10:42 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPhone 13 Pro |
| Model ID | iPhone14,2 |
| Motherboard | D63AP |
| 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 | 5.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1356
252.1 IPS |
|
|
Image Classification (HP)
|
100% |
2351
437.3 IPS |
|
|
Image Classification (Q)
|
99% |
2327
434.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1283
20.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1614
26.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
1839
29.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5448
6.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
12723
14.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
10718
12.6 IPS |
|
|
Object Detection (SP)
|
100% |
1380
109.5 IPS |
|
|
Object Detection (HP)
|
97% |
2601
207.1 IPS |
|
|
Object Detection (Q)
|
94% |
1829
145.8 IPS |
|
|
Face Detection (SP)
|
100% |
2634
31.3 IPS |
|
|
Face Detection (HP)
|
100% |
4146
49.3 IPS |
|
|
Face Detection (Q)
|
100% |
2106
25.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3133
24.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
8280
64.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
6420
49.7 IPS |
|
|
Style Transfer (SP)
|
100% |
9820
12.6 IPS |
|
|
Style Transfer (HP)
|
100% |
25396
32.6 IPS |
|
|
Style Transfer (Q)
|
100% |
24596
31.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3677
135.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4565
168.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3343
123.8 IPS |
|
|
Text Classification (SP)
|
100% |
2071
2.76 KIPS |
|
|
Text Classification (HP)
|
100% |
3880
5.18 KIPS |
|
|
Text Classification (Q)
|
93% |
3074
4.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
3250
56.0 IPS |
|
|
Machine Translation (HP)
|
98% |
5492
94.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2889
49.9 IPS |
