iPhone 13 Pro
Geekbench AI Score
3276
Single Precision Score
16407
Half Precision Score
18368
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 10:53 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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 | 5.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1369
254.6 IPS |
|
|
Image Classification (HP)
|
100% |
8301
1.54 KIPS |
|
|
Image Classification (Q)
|
96% |
9628
1.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1321
21.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
6858
111.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
7947
128.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6389
7.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
86712
101.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
93807
109.9 IPS |
|
|
Object Detection (SP)
|
100% |
1450
115.0 IPS |
|
|
Object Detection (HP)
|
99% |
11051
879.1 IPS |
|
|
Object Detection (Q)
|
91% |
12146
970.5 IPS |
|
|
Face Detection (SP)
|
100% |
2725
32.4 IPS |
|
|
Face Detection (HP)
|
100% |
24895
295.8 IPS |
|
|
Face Detection (Q)
|
100% |
30949
367.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5504
42.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
51282
395.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
74460
581.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17516
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
150636
193.6 IPS |
|
|
Style Transfer (Q)
|
96% |
151480
195.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3931
145.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25800
952.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28233
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2396
3.20 KIPS |
|
|
Text Classification (HP)
|
100% |
2374
3.17 KIPS |
|
|
Text Classification (Q)
|
93% |
2363
3.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
3437
59.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2200
37.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2154
37.2 IPS |
