iPhone 15 Pro Max
Geekbench AI Score
2686
Single Precision Score
13924
Half Precision Score
15977
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| Upload Date | August 23 2024 02:34 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1466
272.7 IPS |
|
|
Image Classification (HP)
|
100% |
6224
1.16 KIPS |
|
|
Image Classification (Q)
|
99% |
6798
1.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
811
13.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
5214
84.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
5225
84.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7617
8.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
88934
103.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
134558
157.8 IPS |
|
|
Object Detection (SP)
|
100% |
1466
116.3 IPS |
|
|
Object Detection (HP)
|
100% |
8258
655.0 IPS |
|
|
Object Detection (Q)
|
93% |
9973
795.8 IPS |
|
|
Face Detection (SP)
|
100% |
2105
25.0 IPS |
|
|
Face Detection (HP)
|
100% |
11146
132.4 IPS |
|
|
Face Detection (Q)
|
100% |
12581
149.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4486
34.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
42807
329.8 IPS |
|
|
Depth Estimation (Q)
|
97% |
48050
371.5 IPS |
|
|
Style Transfer (SP)
|
100% |
12145
15.6 IPS |
|
|
Style Transfer (HP)
|
100% |
127860
164.4 IPS |
|
|
Style Transfer (Q)
|
100% |
128400
165.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3920
144.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18880
697.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
25811
956.3 IPS |
|
|
Text Classification (SP)
|
100% |
1739
2.32 KIPS |
|
|
Text Classification (HP)
|
71% |
3960
5.69 KIPS |
|
|
Text Classification (Q)
|
69% |
4658
6.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
1889
32.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2520
43.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2437
42.1 IPS |
