iPhone 13 Pro Max
Geekbench AI Score
3223
Single Precision Score
5611
Half Precision Score
4514
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 10:22 AM |
| 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 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% |
1358
252.5 IPS |
|
|
Image Classification (HP)
|
100% |
2372
441.2 IPS |
|
|
Image Classification (Q)
|
96% |
1646
307.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1326
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2053
33.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2423
39.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5943
6.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
11873
13.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
10280
12.0 IPS |
|
|
Object Detection (SP)
|
100% |
1427
113.2 IPS |
|
|
Object Detection (HP)
|
97% |
2741
218.2 IPS |
|
|
Object Detection (Q)
|
94% |
1930
153.8 IPS |
|
|
Face Detection (SP)
|
100% |
2675
31.8 IPS |
|
|
Face Detection (HP)
|
100% |
5624
66.8 IPS |
|
|
Face Detection (Q)
|
100% |
3155
37.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5479
42.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
11117
85.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7621
59.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17408
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
27613
35.5 IPS |
|
|
Style Transfer (Q)
|
96% |
22667
29.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3843
141.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4713
174.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3505
129.4 IPS |
|
|
Text Classification (SP)
|
100% |
2415
3.22 KIPS |
|
|
Text Classification (HP)
|
100% |
4238
5.66 KIPS |
|
|
Text Classification (Q)
|
93% |
4110
5.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3349
57.7 IPS |
|
|
Machine Translation (HP)
|
98% |
5666
97.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5658
97.8 IPS |
