iPhone 15 Pro Max
Geekbench AI Score
3827
Single Precision Score
26569
Half Precision Score
35580
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 23 2025 02:14 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1560
290.1 IPS |
|
|
Image Classification (HP)
|
100% |
11078
2.06 KIPS |
|
|
Image Classification (Q)
|
97% |
14052
2.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1535
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
16625
269.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
21144
342.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7857
9.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
106864
124.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
203490
238.5 IPS |
|
|
Object Detection (SP)
|
100% |
1689
134.0 IPS |
|
|
Object Detection (HP)
|
100% |
12998
1.03 KIPS |
|
|
Object Detection (Q)
|
91% |
17618
1.41 KIPS |
|
|
Face Detection (SP)
|
100% |
3051
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
36699
436.1 IPS |
|
|
Face Detection (Q)
|
100% |
50355
598.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6903
53.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
78442
604.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
121937
953.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21894
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
202697
260.6 IPS |
|
|
Style Transfer (Q)
|
96% |
247682
319.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4770
176.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
36716
1.36 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57451
2.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3109
4.15 KIPS |
|
|
Text Classification (HP)
|
99% |
5310
7.09 KIPS |
|
|
Text Classification (Q)
|
93% |
5193
6.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
3103
53.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6024
103.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6728
116.3 IPS |
