iPhone 15 Pro Max
Geekbench AI Score
5039
Single Precision Score
5957
Half Precision Score
5351
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | mvodya |
| Upload Date | February 03 2025 08:04 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2153
400.3 IPS |
|
|
Image Classification (HP)
|
100% |
2386
443.8 IPS |
|
|
Image Classification (Q)
|
97% |
2104
392.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2813
45.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3788
61.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3815
61.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
13467
15.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
14293
16.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
13482
15.8 IPS |
|
|
Object Detection (SP)
|
100% |
2479
196.6 IPS |
|
|
Object Detection (HP)
|
100% |
2665
211.4 IPS |
|
|
Object Detection (Q)
|
91% |
2318
185.2 IPS |
|
|
Face Detection (SP)
|
100% |
6255
74.3 IPS |
|
|
Face Detection (HP)
|
100% |
8575
101.9 IPS |
|
|
Face Detection (Q)
|
100% |
5976
71.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
10869
83.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
11804
90.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
10330
80.7 IPS |
|
|
Style Transfer (SP)
|
100% |
27606
35.5 IPS |
|
|
Style Transfer (HP)
|
100% |
32635
42.0 IPS |
|
|
Style Transfer (Q)
|
96% |
30515
39.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6112
225.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6237
230.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5044
186.3 IPS |
|
|
Text Classification (SP)
|
100% |
3204
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
5677
7.58 KIPS |
|
|
Text Classification (Q)
|
93% |
5493
7.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
1421
24.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1398
24.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1472
25.4 IPS |
