iPhone 15 Pro Max
Geekbench AI Score
3495
Single Precision Score
26661
Half Precision Score
37197
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 11 2025 08:15 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1580
293.8 IPS |
|
|
Image Classification (HP)
|
100% |
10566
1.96 KIPS |
|
|
Image Classification (Q)
|
97% |
14405
2.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1587
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
16512
267.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
20996
340.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6770
7.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
102501
119.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
203139
238.1 IPS |
|
|
Object Detection (SP)
|
100% |
1678
133.1 IPS |
|
|
Object Detection (HP)
|
100% |
13497
1.07 KIPS |
|
|
Object Detection (Q)
|
91% |
18039
1.44 KIPS |
|
|
Face Detection (SP)
|
100% |
2939
34.9 IPS |
|
|
Face Detection (HP)
|
100% |
33881
402.6 IPS |
|
|
Face Detection (Q)
|
100% |
49742
591.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6432
49.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
77651
598.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
123576
966.2 IPS |
|
|
Style Transfer (SP)
|
100% |
19449
25.0 IPS |
|
|
Style Transfer (HP)
|
100% |
205255
263.9 IPS |
|
|
Style Transfer (Q)
|
96% |
250995
323.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4511
166.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34013
1.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
58273
2.15 KIPS |
|
|
Text Classification (SP)
|
100% |
2914
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
5235
6.99 KIPS |
|
|
Text Classification (Q)
|
93% |
5117
6.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
1979
34.1 IPS |
|
|
Machine Translation (HP)
|
100% |
7821
134.7 IPS |
|
|
Machine Translation (Q)
|
98% |
9946
171.9 IPS |
