iPhone 13 Pro
Geekbench AI Score
3035
Single Precision Score
3362
Half Precision Score
1196
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 09:13 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1371
254.9 IPS |
|
|
Image Classification (HP)
|
100% |
1565
291.0 IPS |
|
|
Image Classification (Q)
|
97% |
1364
254.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2257
36.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2469
40.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2452
39.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11053
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
12139
14.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
10993
12.9 IPS |
|
|
Object Detection (SP)
|
100% |
1904
151.0 IPS |
|
|
Object Detection (HP)
|
100% |
2009
159.4 IPS |
|
|
Object Detection (Q)
|
92% |
1592
127.1 IPS |
|
|
Face Detection (SP)
|
100% |
4530
53.8 IPS |
|
|
Face Detection (HP)
|
100% |
5896
70.1 IPS |
|
|
Face Detection (Q)
|
100% |
3790
45.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8351
64.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
9066
69.8 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
55.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18500
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
22641
29.1 IPS |
|
|
Style Transfer (Q)
|
96% |
21407
27.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4491
165.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4828
178.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4005
147.9 IPS |
|
|
Text Classification (SP)
|
100% |
375
500.9 IPS |
|
|
Text Classification (HP)
|
100% |
370
494.3 IPS |
|
|
Text Classification (Q)
|
93% |
241
323.5 IPS |
|
|
Machine Translation (SP)
|
100% |
864
14.9 IPS |
|
|
Machine Translation (HP)
|
100% |
907
15.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1312
22.7 IPS |
