iPhone 15 Pro Max
Geekbench AI Score
3953
Single Precision Score
6839
Half Precision Score
5630
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 20 2024 10:05 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1707
317.4 IPS |
|
|
Image Classification (HP)
|
100% |
2882
536.0 IPS |
|
|
Image Classification (Q)
|
96% |
2010
375.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1612
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2419
39.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3084
50.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8279
9.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
16574
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
14393
16.9 IPS |
|
|
Object Detection (SP)
|
100% |
1798
142.6 IPS |
|
|
Object Detection (HP)
|
97% |
3349
266.6 IPS |
|
|
Object Detection (Q)
|
94% |
2360
188.1 IPS |
|
|
Face Detection (SP)
|
100% |
3148
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
6772
80.5 IPS |
|
|
Face Detection (Q)
|
100% |
3885
46.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6988
53.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
13436
103.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
9276
72.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21113
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
32383
41.6 IPS |
|
|
Style Transfer (Q)
|
96% |
27532
35.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4855
179.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5754
212.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4408
162.8 IPS |
|
|
Text Classification (SP)
|
100% |
3251
4.34 KIPS |
|
|
Text Classification (HP)
|
100% |
5645
7.53 KIPS |
|
|
Text Classification (Q)
|
93% |
5600
7.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3110
53.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6044
104.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6215
107.4 IPS |
