iPhone 13 Pro
Geekbench AI Score
3241
Single Precision Score
5678
Half Precision Score
4572
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 08:05 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1348
250.7 IPS |
|
|
Image Classification (HP)
|
100% |
2349
436.9 IPS |
|
|
Image Classification (Q)
|
96% |
1623
303.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1261
20.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1984
32.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2457
39.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6301
7.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
14008
16.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
11639
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
1437
114.0 IPS |
|
|
Object Detection (HP)
|
97% |
2727
217.1 IPS |
|
|
Object Detection (Q)
|
94% |
1930
153.8 IPS |
|
|
Face Detection (SP)
|
100% |
2689
32.0 IPS |
|
|
Face Detection (HP)
|
100% |
5670
67.4 IPS |
|
|
Face Detection (Q)
|
100% |
3172
37.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5451
42.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
11117
85.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7552
59.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17572
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
27136
34.9 IPS |
|
|
Style Transfer (Q)
|
96% |
22319
28.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3942
145.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4791
176.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3518
129.9 IPS |
|
|
Text Classification (SP)
|
100% |
2435
3.25 KIPS |
|
|
Text Classification (HP)
|
100% |
4172
5.57 KIPS |
|
|
Text Classification (Q)
|
93% |
4149
5.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
3366
58.0 IPS |
|
|
Machine Translation (HP)
|
98% |
5727
98.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5714
98.7 IPS |
