iPhone 13 Pro
Geekbench AI Score
2511
Single Precision Score
2701
Half Precision Score
974
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | pgfunny124 |
| Upload Date | April 19 2025 05:04 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.7.2 |
| 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% |
644
119.8 IPS |
|
|
Image Classification (HP)
|
100% |
632
117.6 IPS |
|
|
Image Classification (Q)
|
97% |
597
111.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2275
36.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2441
39.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2430
39.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11084
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
12249
14.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
11016
12.9 IPS |
|
|
Object Detection (SP)
|
100% |
1329
105.4 IPS |
|
|
Object Detection (HP)
|
100% |
1288
102.2 IPS |
|
|
Object Detection (Q)
|
92% |
1130
90.2 IPS |
|
|
Face Detection (SP)
|
100% |
3955
47.0 IPS |
|
|
Face Detection (HP)
|
100% |
5838
69.4 IPS |
|
|
Face Detection (Q)
|
100% |
3725
44.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7788
60.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
8883
68.4 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
53.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18613
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
22706
29.2 IPS |
|
|
Style Transfer (Q)
|
96% |
20972
27.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3551
131.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3095
114.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2875
106.2 IPS |
|
|
Text Classification (SP)
|
100% |
363
484.2 IPS |
|
|
Text Classification (HP)
|
100% |
367
489.6 IPS |
|
|
Text Classification (Q)
|
93% |
222
297.7 IPS |
|
|
Machine Translation (SP)
|
100% |
625
10.8 IPS |
|
|
Machine Translation (HP)
|
100% |
637
11.0 IPS |
|
|
Machine Translation (Q)
|
98% |
861
14.9 IPS |
