iPhone 15 Pro Max
Geekbench AI Score
3878
Single Precision Score
6753
Half Precision Score
5520
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 06 2025 08:44 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
1688
314.0 IPS |
|
|
Image Classification (HP)
|
100% |
2946
547.9 IPS |
|
|
Image Classification (Q)
|
96% |
2029
378.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1607
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2402
38.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3055
49.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7797
9.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
15787
18.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
13869
16.3 IPS |
|
|
Object Detection (SP)
|
100% |
1746
138.5 IPS |
|
|
Object Detection (HP)
|
97% |
3279
261.1 IPS |
|
|
Object Detection (Q)
|
94% |
2323
185.1 IPS |
|
|
Face Detection (SP)
|
100% |
3100
36.8 IPS |
|
|
Face Detection (HP)
|
100% |
6648
79.0 IPS |
|
|
Face Detection (Q)
|
100% |
3802
45.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6804
52.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
13219
102.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
9090
71.1 IPS |
|
|
Style Transfer (SP)
|
100% |
20625
26.5 IPS |
|
|
Style Transfer (HP)
|
100% |
31744
40.8 IPS |
|
|
Style Transfer (Q)
|
96% |
26867
34.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4766
176.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5825
215.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4316
159.4 IPS |
|
|
Text Classification (SP)
|
100% |
3203
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
5514
7.36 KIPS |
|
|
Text Classification (Q)
|
93% |
5476
7.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3137
54.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6017
104.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5999
103.7 IPS |
