iPhone 15 Pro Max
Geekbench AI Score
3845
Single Precision Score
25695
Half Precision Score
35539
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | xgrommx |
| Upload Date | October 16 2025 12:26 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.7.1 |
| 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% |
1661
308.8 IPS |
|
|
Image Classification (HP)
|
100% |
11663
2.17 KIPS |
|
|
Image Classification (Q)
|
97% |
15587
2.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1560
25.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
16400
265.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
21670
351.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7524
8.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
102889
120.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
204198
239.3 IPS |
|
|
Object Detection (SP)
|
100% |
1746
138.5 IPS |
|
|
Object Detection (HP)
|
100% |
13822
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
19059
1.52 KIPS |
|
|
Face Detection (SP)
|
100% |
3096
36.8 IPS |
|
|
Face Detection (HP)
|
100% |
36781
437.0 IPS |
|
|
Face Detection (Q)
|
100% |
53493
635.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6793
52.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
78707
606.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
127755
998.8 IPS |
|
|
Style Transfer (SP)
|
100% |
20331
26.1 IPS |
|
|
Style Transfer (HP)
|
100% |
204801
263.3 IPS |
|
|
Style Transfer (Q)
|
96% |
246897
318.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4703
173.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33842
1.25 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55984
2.07 KIPS |
|
|
Text Classification (SP)
|
100% |
3267
4.36 KIPS |
|
|
Text Classification (HP)
|
100% |
3445
4.60 KIPS |
|
|
Text Classification (Q)
|
93% |
3477
4.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
3164
54.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6674
115.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7446
128.7 IPS |
