iPhone 13 Pro
Geekbench AI Score
3280
Single Precision Score
5697
Half Precision Score
4605
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | masm66 |
| Upload Date | November 12 2024 10:58 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1362
253.4 IPS |
|
|
Image Classification (HP)
|
100% |
2358
438.5 IPS |
|
|
Image Classification (Q)
|
96% |
1629
304.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1307
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2050
33.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2467
40.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6479
7.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
14026
16.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
12033
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1458
115.6 IPS |
|
|
Object Detection (HP)
|
97% |
2726
217.0 IPS |
|
|
Object Detection (Q)
|
94% |
1932
154.0 IPS |
|
|
Face Detection (SP)
|
100% |
2723
32.4 IPS |
|
|
Face Detection (HP)
|
100% |
5733
68.1 IPS |
|
|
Face Detection (Q)
|
100% |
3244
38.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5465
42.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
11124
86.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7563
59.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17620
22.7 IPS |
|
|
Style Transfer (HP)
|
100% |
26915
34.6 IPS |
|
|
Style Transfer (Q)
|
96% |
22320
28.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3915
144.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4747
175.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3498
129.2 IPS |
|
|
Text Classification (SP)
|
100% |
2429
3.24 KIPS |
|
|
Text Classification (HP)
|
100% |
4122
5.50 KIPS |
|
|
Text Classification (Q)
|
93% |
4158
5.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
3440
59.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5802
100.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5764
99.6 IPS |
