iPhone 13 Pro
Geekbench AI Score
3789
Single Precision Score
4268
Half Precision Score
3733
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | cloudit0 |
| Upload Date | February 01 2025 07:17 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
1725
320.8 IPS |
|
|
Image Classification (HP)
|
100% |
1548
287.9 IPS |
|
|
Image Classification (Q)
|
97% |
1382
258.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2273
36.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2503
40.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2460
39.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11290
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
12225
14.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
11431
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1991
157.9 IPS |
|
|
Object Detection (HP)
|
100% |
1960
155.5 IPS |
|
|
Object Detection (Q)
|
91% |
1605
128.2 IPS |
|
|
Face Detection (SP)
|
100% |
4608
54.8 IPS |
|
|
Face Detection (HP)
|
100% |
6128
72.8 IPS |
|
|
Face Detection (Q)
|
100% |
4078
48.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8456
65.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
8952
69.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7467
58.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18800
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
23237
29.9 IPS |
|
|
Style Transfer (Q)
|
96% |
21670
28.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4912
181.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4933
182.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3869
142.9 IPS |
|
|
Text Classification (SP)
|
100% |
2403
3.21 KIPS |
|
|
Text Classification (HP)
|
100% |
4166
5.56 KIPS |
|
|
Text Classification (Q)
|
93% |
4077
5.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
802
13.8 IPS |
|
|
Machine Translation (HP)
|
100% |
825
14.2 IPS |
|
|
Machine Translation (Q)
|
98% |
811
14.0 IPS |
