iPhone 13 Pro
Geekbench AI Score
3148
Single Precision Score
16638
Half Precision Score
18807
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 16 2024 10:43 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1345
250.2 IPS |
|
|
Image Classification (HP)
|
100% |
8143
1.51 KIPS |
|
|
Image Classification (Q)
|
96% |
10519
1.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1273
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
7508
121.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
7864
127.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5749
6.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
88794
103.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
93472
109.6 IPS |
|
|
Object Detection (SP)
|
100% |
1397
110.8 IPS |
|
|
Object Detection (HP)
|
99% |
10252
815.5 IPS |
|
|
Object Detection (Q)
|
91% |
11753
939.1 IPS |
|
|
Face Detection (SP)
|
100% |
2634
31.3 IPS |
|
|
Face Detection (HP)
|
100% |
27911
331.6 IPS |
|
|
Face Detection (Q)
|
100% |
35333
419.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5207
40.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
54943
423.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
78198
611.1 IPS |
|
|
Style Transfer (SP)
|
100% |
15942
20.5 IPS |
|
|
Style Transfer (HP)
|
100% |
162455
208.8 IPS |
|
|
Style Transfer (Q)
|
96% |
164880
212.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3828
141.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26844
991.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
29090
1.07 KIPS |
|
|
Text Classification (SP)
|
100% |
2426
3.24 KIPS |
|
|
Text Classification (HP)
|
100% |
2050
2.74 KIPS |
|
|
Text Classification (Q)
|
93% |
2178
2.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
3423
59.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2131
36.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2111
36.5 IPS |
