iPhone 15 Pro Max
Geekbench AI Score
3974
Single Precision Score
6850
Half Precision Score
5974
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | GregBarker |
| Upload Date | August 15 2024 05:38 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1699
316.0 IPS |
|
|
Image Classification (HP)
|
100% |
2912
541.5 IPS |
|
|
Image Classification (Q)
|
99% |
2918
544.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1620
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2404
39.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
2399
38.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8206
9.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
16601
19.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
14394
16.9 IPS |
|
|
Object Detection (SP)
|
100% |
1796
142.5 IPS |
|
|
Object Detection (HP)
|
97% |
3352
266.8 IPS |
|
|
Object Detection (Q)
|
94% |
2345
186.9 IPS |
|
|
Face Detection (SP)
|
100% |
3218
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
6746
80.2 IPS |
|
|
Face Detection (Q)
|
100% |
3833
45.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7138
55.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
13531
104.6 IPS |
|
|
Depth Estimation (Q)
|
97% |
13518
104.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21307
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
32821
42.2 IPS |
|
|
Style Transfer (Q)
|
100% |
32537
41.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4949
182.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5868
216.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4336
160.7 IPS |
|
|
Text Classification (SP)
|
100% |
3193
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
5492
7.33 KIPS |
|
|
Text Classification (Q)
|
93% |
5507
7.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3139
54.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6051
104.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6095
105.3 IPS |
