iPhone 15 Pro Max
Geekbench AI Score
3704
Single Precision Score
6602
Half Precision Score
5389
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 13 2024 09:44 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% |
1606
298.7 IPS |
|
|
Image Classification (HP)
|
100% |
2915
542.1 IPS |
|
|
Image Classification (Q)
|
96% |
2000
373.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1605
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2477
40.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2982
48.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7171
8.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
14243
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12879
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1568
124.4 IPS |
|
|
Object Detection (HP)
|
97% |
3223
256.6 IPS |
|
|
Object Detection (Q)
|
94% |
2285
182.1 IPS |
|
|
Face Detection (SP)
|
100% |
2957
35.1 IPS |
|
|
Face Detection (HP)
|
100% |
6446
76.6 IPS |
|
|
Face Detection (Q)
|
100% |
3706
44.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6478
49.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
12871
99.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
8763
68.5 IPS |
|
|
Style Transfer (SP)
|
100% |
19950
25.6 IPS |
|
|
Style Transfer (HP)
|
100% |
30711
39.5 IPS |
|
|
Style Transfer (Q)
|
96% |
25828
33.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4464
164.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5680
209.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4212
155.5 IPS |
|
|
Text Classification (SP)
|
100% |
3192
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
5509
7.35 KIPS |
|
|
Text Classification (Q)
|
93% |
5591
7.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3080
53.1 IPS |
|
|
Machine Translation (HP)
|
98% |
5954
102.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5965
103.1 IPS |
