iPhone 15 Pro Max
Geekbench AI Score
3808
Single Precision Score
6677
Half Precision Score
5453
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 22 2024 02:15 AM |
| 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% |
1667
310.1 IPS |
|
|
Image Classification (HP)
|
100% |
2912
541.4 IPS |
|
|
Image Classification (Q)
|
96% |
2009
375.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1576
25.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2390
38.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3063
49.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7596
8.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
15371
17.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
13464
15.8 IPS |
|
|
Object Detection (SP)
|
100% |
1721
136.5 IPS |
|
|
Object Detection (HP)
|
97% |
3284
261.5 IPS |
|
|
Object Detection (Q)
|
94% |
2309
184.0 IPS |
|
|
Face Detection (SP)
|
100% |
3062
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
6640
78.9 IPS |
|
|
Face Detection (Q)
|
100% |
3736
44.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6692
51.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
12951
100.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8925
69.8 IPS |
|
|
Style Transfer (SP)
|
100% |
19895
25.6 IPS |
|
|
Style Transfer (HP)
|
100% |
30873
39.7 IPS |
|
|
Style Transfer (Q)
|
96% |
26209
33.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4639
171.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5589
206.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4232
156.3 IPS |
|
|
Text Classification (SP)
|
100% |
3196
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
5653
7.54 KIPS |
|
|
Text Classification (Q)
|
93% |
5482
7.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3089
53.2 IPS |
|
|
Machine Translation (HP)
|
98% |
5977
103.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5996
103.6 IPS |
