iPhone 15 Pro Max
Geekbench AI Score
3728
Single Precision Score
5480
Half Precision Score
4581
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | shihaburrahmann |
| Upload Date | August 24 2024 02:00 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1735
322.7 IPS |
|
|
Image Classification (HP)
|
100% |
2192
407.7 IPS |
|
|
Image Classification (Q)
|
99% |
2204
411.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1421
23.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1347
21.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
1340
21.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7912
9.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
15984
18.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
14079
16.5 IPS |
|
|
Object Detection (SP)
|
100% |
1759
139.6 IPS |
|
|
Object Detection (HP)
|
97% |
2582
205.6 IPS |
|
|
Object Detection (Q)
|
94% |
1995
159.0 IPS |
|
|
Face Detection (SP)
|
100% |
2898
34.4 IPS |
|
|
Face Detection (HP)
|
100% |
4929
58.6 IPS |
|
|
Face Detection (Q)
|
100% |
3161
37.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6276
48.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
9554
73.8 IPS |
|
|
Depth Estimation (Q)
|
96% |
4993
38.6 IPS |
|
|
Style Transfer (SP)
|
100% |
20311
26.1 IPS |
|
|
Style Transfer (HP)
|
100% |
30676
39.4 IPS |
|
|
Style Transfer (Q)
|
100% |
30543
39.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4740
175.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5999
221.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4364
161.7 IPS |
|
|
Text Classification (SP)
|
100% |
3170
4.23 KIPS |
|
|
Text Classification (HP)
|
100% |
5189
6.93 KIPS |
|
|
Text Classification (Q)
|
93% |
5241
7.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
2724
46.9 IPS |
|
|
Machine Translation (HP)
|
98% |
4463
77.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4452
76.9 IPS |
