iPhone 15 Pro Max
Geekbench AI Score
4106
Single Precision Score
4263
Half Precision Score
4340
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 12:52 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1018
189.3 IPS |
|
|
Image Classification (HP)
|
100% |
866
161.0 IPS |
|
|
Image Classification (Q)
|
97% |
1147
214.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2865
46.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3849
62.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3999
64.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
14818
17.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
13746
16.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
12244
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
2108
167.2 IPS |
|
|
Object Detection (HP)
|
100% |
1621
128.5 IPS |
|
|
Object Detection (Q)
|
91% |
1401
112.0 IPS |
|
|
Face Detection (SP)
|
100% |
5140
61.1 IPS |
|
|
Face Detection (HP)
|
100% |
5927
70.4 IPS |
|
|
Face Detection (Q)
|
100% |
5951
70.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
11508
88.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
12694
97.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
10349
80.9 IPS |
|
|
Style Transfer (SP)
|
100% |
28816
37.0 IPS |
|
|
Style Transfer (HP)
|
100% |
33170
42.6 IPS |
|
|
Style Transfer (Q)
|
96% |
30988
40.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5031
185.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4330
159.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3613
133.4 IPS |
|
|
Text Classification (SP)
|
100% |
3190
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
5478
7.31 KIPS |
|
|
Text Classification (Q)
|
93% |
5446
7.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
547
9.41 IPS |
|
|
Machine Translation (HP)
|
100% |
451
7.77 IPS |
|
|
Machine Translation (Q)
|
98% |
804
13.9 IPS |
