iPhone 13 Pro Max
Geekbench AI Score
2573
Single Precision Score
3742
Half Precision Score
3039
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 18 2024 04:57 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 5.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1354
251.8 IPS |
|
|
Image Classification (HP)
|
100% |
1737
323.1 IPS |
|
|
Image Classification (Q)
|
96% |
1013
189.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1119
18.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1115
18.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1661
26.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5541
6.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
11149
13.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
6957
8.15 IPS |
|
|
Object Detection (SP)
|
100% |
1322
104.9 IPS |
|
|
Object Detection (HP)
|
97% |
1553
123.6 IPS |
|
|
Object Detection (Q)
|
94% |
1170
93.3 IPS |
|
|
Face Detection (SP)
|
100% |
2338
27.8 IPS |
|
|
Face Detection (HP)
|
100% |
3048
36.2 IPS |
|
|
Face Detection (Q)
|
100% |
1984
23.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3796
29.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
6612
51.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
3888
30.3 IPS |
|
|
Style Transfer (SP)
|
100% |
9702
12.5 IPS |
|
|
Style Transfer (HP)
|
100% |
17412
22.4 IPS |
|
|
Style Transfer (Q)
|
96% |
20181
26.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2883
106.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3611
133.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3268
120.7 IPS |
|
|
Text Classification (SP)
|
100% |
2320
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
3548
4.74 KIPS |
|
|
Text Classification (Q)
|
93% |
3090
4.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
1991
34.3 IPS |
|
|
Machine Translation (HP)
|
98% |
3574
61.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3121
53.9 IPS |
