iPhone 15 Pro Max
Geekbench AI Score
3713
Single Precision Score
25452
Half Precision Score
35781
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 03 2025 08:10 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1542
286.7 IPS |
|
|
Image Classification (HP)
|
100% |
11475
2.13 KIPS |
|
|
Image Classification (Q)
|
97% |
15752
2.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1558
25.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
16418
266.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
21385
346.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7285
8.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
101497
118.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
203975
239.1 IPS |
|
|
Object Detection (SP)
|
100% |
1712
135.8 IPS |
|
|
Object Detection (HP)
|
100% |
14148
1.12 KIPS |
|
|
Object Detection (Q)
|
91% |
19072
1.52 KIPS |
|
|
Face Detection (SP)
|
100% |
3029
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
34260
407.1 IPS |
|
|
Face Detection (Q)
|
100% |
53515
635.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6528
50.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
78322
603.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
127366
995.8 IPS |
|
|
Style Transfer (SP)
|
100% |
19673
25.3 IPS |
|
|
Style Transfer (HP)
|
100% |
205653
264.4 IPS |
|
|
Style Transfer (Q)
|
96% |
254260
328.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4509
166.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33819
1.25 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
58471
2.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3284
4.38 KIPS |
|
|
Text Classification (HP)
|
100% |
3441
4.59 KIPS |
|
|
Text Classification (Q)
|
93% |
3470
4.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
2887
49.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6568
113.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7467
129.0 IPS |
