iPhone 13 Pro Max
Geekbench AI Score
2958
Single Precision Score
4393
Half Precision Score
3718
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| Upload Date | August 23 2024 02:23 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% |
1330
247.3 IPS |
|
|
Image Classification (HP)
|
100% |
1725
320.9 IPS |
|
|
Image Classification (Q)
|
99% |
1722
321.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1052
17.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
916
14.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
1130
18.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5865
6.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
13707
16.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
11578
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
1471
116.7 IPS |
|
|
Object Detection (HP)
|
97% |
2122
169.0 IPS |
|
|
Object Detection (Q)
|
94% |
1630
129.9 IPS |
|
|
Face Detection (SP)
|
100% |
2403
28.5 IPS |
|
|
Face Detection (HP)
|
100% |
4066
48.3 IPS |
|
|
Face Detection (Q)
|
100% |
2618
31.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5002
38.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
8146
62.9 IPS |
|
|
Depth Estimation (Q)
|
96% |
4117
31.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16322
21.0 IPS |
|
|
Style Transfer (HP)
|
100% |
25555
32.9 IPS |
|
|
Style Transfer (Q)
|
100% |
25585
32.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3531
130.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4680
172.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3475
128.7 IPS |
|
|
Text Classification (SP)
|
100% |
2339
3.12 KIPS |
|
|
Text Classification (HP)
|
100% |
3412
4.55 KIPS |
|
|
Text Classification (Q)
|
93% |
3335
4.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
2624
45.2 IPS |
|
|
Machine Translation (HP)
|
98% |
4311
74.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4307
74.4 IPS |
