iPhone 13 Pro
Geekbench AI Score
3495
Single Precision Score
3595
Half Precision Score
3246
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | JoshuaChung |
| Upload Date | September 20 2024 04:47 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% |
1399
260.2 IPS |
|
|
Image Classification (HP)
|
100% |
1519
282.5 IPS |
|
|
Image Classification (Q)
|
97% |
1402
261.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2268
36.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2479
40.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2481
40.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10793
12.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
9557
11.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
9069
10.6 IPS |
|
|
Object Detection (SP)
|
100% |
1621
128.6 IPS |
|
|
Object Detection (HP)
|
100% |
1676
133.0 IPS |
|
|
Object Detection (Q)
|
91% |
1441
115.1 IPS |
|
|
Face Detection (SP)
|
100% |
4426
52.6 IPS |
|
|
Face Detection (HP)
|
100% |
5377
63.9 IPS |
|
|
Face Detection (Q)
|
100% |
3945
46.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8504
65.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
8444
65.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7155
55.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17843
22.9 IPS |
|
|
Style Transfer (HP)
|
100% |
16231
20.9 IPS |
|
|
Style Transfer (Q)
|
96% |
15246
19.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4006
147.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4220
155.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3643
134.5 IPS |
|
|
Text Classification (SP)
|
100% |
2465
3.29 KIPS |
|
|
Text Classification (HP)
|
100% |
4206
5.61 KIPS |
|
|
Text Classification (Q)
|
93% |
4193
5.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
739
12.7 IPS |
|
|
Machine Translation (HP)
|
100% |
458
7.88 IPS |
|
|
Machine Translation (Q)
|
98% |
435
7.52 IPS |
