iPhone 13 Pro
Geekbench AI Score
3707
Single Precision Score
4135
Half Precision Score
3632
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | gastaro |
| Upload Date | September 18 2024 01:11 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1493
277.7 IPS |
|
|
Image Classification (HP)
|
100% |
1414
263.0 IPS |
|
|
Image Classification (Q)
|
97% |
1389
259.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2256
36.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2480
40.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2493
40.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11216
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
12254
14.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
11246
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
1897
150.5 IPS |
|
|
Object Detection (HP)
|
100% |
1963
155.7 IPS |
|
|
Object Detection (Q)
|
91% |
1549
123.8 IPS |
|
|
Face Detection (SP)
|
100% |
4576
54.4 IPS |
|
|
Face Detection (HP)
|
100% |
5886
69.9 IPS |
|
|
Face Detection (Q)
|
100% |
4052
48.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8348
64.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
9088
70.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7086
55.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18744
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
23244
29.9 IPS |
|
|
Style Transfer (Q)
|
96% |
21485
27.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4951
182.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5035
185.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3885
143.5 IPS |
|
|
Text Classification (SP)
|
100% |
2359
3.15 KIPS |
|
|
Text Classification (HP)
|
100% |
4091
5.46 KIPS |
|
|
Text Classification (Q)
|
93% |
4047
5.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
818
14.1 IPS |
|
|
Machine Translation (HP)
|
100% |
678
11.7 IPS |
|
|
Machine Translation (Q)
|
98% |
683
11.8 IPS |
