iPhone 13 Pro
Geekbench AI Score
3010
Single Precision Score
4559
Half Precision Score
3887
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | eahyndman3 |
| Upload Date | September 08 2024 04:36 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 5.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1411
262.4 IPS |
|
|
Image Classification (HP)
|
100% |
1793
333.4 IPS |
|
|
Image Classification (Q)
|
96% |
1368
255.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1163
18.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1140
18.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1682
27.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5745
6.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
13593
15.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
11751
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
1429
113.3 IPS |
|
|
Object Detection (HP)
|
97% |
2136
170.0 IPS |
|
|
Object Detection (Q)
|
94% |
1613
128.5 IPS |
|
|
Face Detection (SP)
|
100% |
2304
27.4 IPS |
|
|
Face Detection (HP)
|
100% |
3928
46.7 IPS |
|
|
Face Detection (Q)
|
100% |
2523
30.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4804
37.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
7859
60.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
5916
46.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16251
20.9 IPS |
|
|
Style Transfer (HP)
|
100% |
25543
32.8 IPS |
|
|
Style Transfer (Q)
|
96% |
21190
27.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3568
131.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4832
178.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3499
129.2 IPS |
|
|
Text Classification (SP)
|
100% |
2396
3.20 KIPS |
|
|
Text Classification (HP)
|
100% |
3829
5.11 KIPS |
|
|
Text Classification (Q)
|
93% |
3806
5.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
2955
50.9 IPS |
|
|
Machine Translation (HP)
|
98% |
4481
77.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4290
74.1 IPS |
