iPhone 13 Pro Max
Geekbench AI Score
3009
Single Precision Score
4526
Half Precision Score
3897
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 19 2024 10:04 AM |
| 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% |
1420
264.1 IPS |
|
|
Image Classification (HP)
|
100% |
1772
329.5 IPS |
|
|
Image Classification (Q)
|
96% |
1355
252.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1153
18.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1132
18.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1675
27.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6020
7.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
13818
16.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
11829
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
1483
117.7 IPS |
|
|
Object Detection (HP)
|
97% |
2130
169.6 IPS |
|
|
Object Detection (Q)
|
94% |
1631
130.0 IPS |
|
|
Face Detection (SP)
|
100% |
2413
28.7 IPS |
|
|
Face Detection (HP)
|
100% |
4078
48.5 IPS |
|
|
Face Detection (Q)
|
100% |
2628
31.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4999
38.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
8127
62.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
6146
48.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16339
21.0 IPS |
|
|
Style Transfer (HP)
|
100% |
25595
32.9 IPS |
|
|
Style Transfer (Q)
|
96% |
21351
27.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3576
132.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4693
173.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3512
129.7 IPS |
|
|
Text Classification (SP)
|
100% |
2359
3.15 KIPS |
|
|
Text Classification (HP)
|
100% |
3573
4.77 KIPS |
|
|
Text Classification (Q)
|
93% |
3550
4.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
2505
43.2 IPS |
|
|
Machine Translation (HP)
|
98% |
4300
74.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4292
74.2 IPS |
