iPhone 13 Pro Max
Geekbench AI Score
3187
Single Precision Score
5626
Half Precision Score
4499
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 10:59 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPhone 13 Pro Max |
| Model ID | iPhone14,3 |
| Motherboard | D64AP |
| 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 | 5.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1284
238.8 IPS |
|
|
Image Classification (HP)
|
100% |
2314
430.3 IPS |
|
|
Image Classification (Q)
|
96% |
1622
302.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1225
19.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1903
30.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2313
37.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5935
6.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
13044
15.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
10675
12.5 IPS |
|
|
Object Detection (SP)
|
100% |
1347
106.9 IPS |
|
|
Object Detection (HP)
|
97% |
2670
212.5 IPS |
|
|
Object Detection (Q)
|
94% |
1950
155.4 IPS |
|
|
Face Detection (SP)
|
100% |
2622
31.2 IPS |
|
|
Face Detection (HP)
|
100% |
5654
67.2 IPS |
|
|
Face Detection (Q)
|
100% |
3134
37.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5468
42.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
11122
86.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7624
59.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18117
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
27672
35.6 IPS |
|
|
Style Transfer (Q)
|
96% |
22689
29.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4075
150.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4920
181.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3329
122.9 IPS |
|
|
Text Classification (SP)
|
100% |
2331
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
4173
5.57 KIPS |
|
|
Text Classification (Q)
|
93% |
4157
5.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
3494
60.2 IPS |
|
|
Machine Translation (HP)
|
98% |
5799
100.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5803
100.3 IPS |
