iPhone 15 Pro Max
Geekbench AI Score
4957
Single Precision Score
5895
Half Precision Score
5319
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 21 2024 08:11 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% |
1865
346.8 IPS |
|
|
Image Classification (HP)
|
100% |
1924
357.9 IPS |
|
|
Image Classification (Q)
|
97% |
1908
356.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2939
47.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3899
63.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3997
64.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
15030
17.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
15810
18.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
14939
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
2607
206.8 IPS |
|
|
Object Detection (HP)
|
100% |
2825
224.1 IPS |
|
|
Object Detection (Q)
|
91% |
2430
194.2 IPS |
|
|
Face Detection (SP)
|
100% |
6692
79.5 IPS |
|
|
Face Detection (HP)
|
100% |
8787
104.4 IPS |
|
|
Face Detection (Q)
|
100% |
6302
74.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
11574
89.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
13048
100.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
10775
84.2 IPS |
|
|
Style Transfer (SP)
|
100% |
30174
38.8 IPS |
|
|
Style Transfer (HP)
|
100% |
36057
46.4 IPS |
|
|
Style Transfer (Q)
|
96% |
34181
44.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6370
235.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6856
253.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5408
199.7 IPS |
|
|
Text Classification (SP)
|
100% |
3187
4.25 KIPS |
|
|
Text Classification (HP)
|
100% |
5507
7.35 KIPS |
|
|
Text Classification (Q)
|
93% |
5477
7.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
880
15.2 IPS |
|
|
Machine Translation (HP)
|
100% |
970
16.7 IPS |
|
|
Machine Translation (Q)
|
98% |
953
16.5 IPS |
