iPhone 15 Pro Max
Geekbench AI Score
5003
Single Precision Score
5890
Half Precision Score
5309
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 11 2024 04:30 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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 | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1884
350.4 IPS |
|
|
Image Classification (HP)
|
100% |
1667
310.1 IPS |
|
|
Image Classification (Q)
|
97% |
1934
360.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2974
48.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3954
64.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3994
64.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
15130
17.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
15929
18.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
15071
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
2738
217.2 IPS |
|
|
Object Detection (HP)
|
100% |
2986
236.9 IPS |
|
|
Object Detection (Q)
|
91% |
2284
182.5 IPS |
|
|
Face Detection (SP)
|
100% |
6480
77.0 IPS |
|
|
Face Detection (HP)
|
100% |
9127
108.4 IPS |
|
|
Face Detection (Q)
|
100% |
6405
76.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
11610
89.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
12913
99.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
10978
85.8 IPS |
|
|
Style Transfer (SP)
|
100% |
29941
38.5 IPS |
|
|
Style Transfer (HP)
|
100% |
36116
46.4 IPS |
|
|
Style Transfer (Q)
|
96% |
34290
44.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6400
236.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6702
247.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5366
198.1 IPS |
|
|
Text Classification (SP)
|
100% |
3196
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
5752
7.68 KIPS |
|
|
Text Classification (Q)
|
93% |
5612
7.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
919
15.8 IPS |
|
|
Machine Translation (HP)
|
100% |
978
16.8 IPS |
|
|
Machine Translation (Q)
|
98% |
922
15.9 IPS |
