iPhone 13 Pro Max
Geekbench AI Score
2926
Single Precision Score
4401
Half Precision Score
3787
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 14 2024 05:33 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% |
1414
262.9 IPS |
|
|
Image Classification (HP)
|
100% |
1767
328.5 IPS |
|
|
Image Classification (Q)
|
96% |
1352
252.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1128
18.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1119
18.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1650
26.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5691
6.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
13259
15.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
11318
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
1418
112.5 IPS |
|
|
Object Detection (HP)
|
97% |
2079
165.5 IPS |
|
|
Object Detection (Q)
|
94% |
1587
126.5 IPS |
|
|
Face Detection (SP)
|
100% |
2314
27.5 IPS |
|
|
Face Detection (HP)
|
100% |
3906
46.4 IPS |
|
|
Face Detection (Q)
|
100% |
2530
30.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4766
36.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
7867
60.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
5880
45.9 IPS |
|
|
Style Transfer (SP)
|
100% |
15812
20.3 IPS |
|
|
Style Transfer (HP)
|
100% |
24529
31.5 IPS |
|
|
Style Transfer (Q)
|
96% |
20577
26.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3486
128.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4612
170.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3396
125.4 IPS |
|
|
Text Classification (SP)
|
100% |
2342
3.13 KIPS |
|
|
Text Classification (HP)
|
100% |
3434
4.58 KIPS |
|
|
Text Classification (Q)
|
93% |
3431
4.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
2518
43.4 IPS |
|
|
Machine Translation (HP)
|
98% |
4194
72.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4250
73.4 IPS |
