iPhone 15 Pro Max
Geekbench AI Score
3939
Single Precision Score
20906
Half Precision Score
26353
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | ChrisCR8IV |
| Upload Date | August 27 2024 06:14 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPhone 15 Pro Max |
| Model ID | iPhone16,2 |
| Motherboard | D84AP |
| CPU Information | |
|---|---|
| Name | Apple A17 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.78 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1715
319.0 IPS |
|
|
Image Classification (HP)
|
100% |
10651
1.98 KIPS |
|
|
Image Classification (Q)
|
99% |
12692
2.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1613
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
11023
178.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
10832
175.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8106
9.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
102402
119.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
198237
232.5 IPS |
|
|
Object Detection (SP)
|
100% |
1799
142.7 IPS |
|
|
Object Detection (HP)
|
100% |
13080
1.04 KIPS |
|
|
Object Detection (Q)
|
91% |
18633
1.49 KIPS |
|
|
Face Detection (SP)
|
100% |
3153
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
21436
254.7 IPS |
|
|
Face Detection (Q)
|
100% |
36794
437.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7131
54.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
63650
490.4 IPS |
|
|
Depth Estimation (Q)
|
97% |
73916
571.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21028
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
138583
178.2 IPS |
|
|
Style Transfer (Q)
|
100% |
138719
178.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4977
183.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33583
1.24 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
55708
2.06 KIPS |
|
|
Text Classification (SP)
|
100% |
3189
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
2588
3.45 KIPS |
|
|
Text Classification (Q)
|
93% |
2194
2.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
2977
51.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6172
106.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6901
119.3 IPS |
