iPhone 15 Pro Max
Geekbench AI Score
3786
Single Precision Score
6929
Half Precision Score
5673
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 15 2026 01:47 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
1536
285.6 IPS |
|
|
Image Classification (HP)
|
100% |
2976
553.5 IPS |
|
|
Image Classification (Q)
|
96% |
2038
380.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1525
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2359
38.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3033
49.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7646
8.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
16643
19.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
14458
16.9 IPS |
|
|
Object Detection (SP)
|
100% |
1651
130.9 IPS |
|
|
Object Detection (HP)
|
97% |
3267
260.1 IPS |
|
|
Object Detection (Q)
|
94% |
2356
187.8 IPS |
|
|
Face Detection (SP)
|
100% |
2995
35.6 IPS |
|
|
Face Detection (HP)
|
100% |
6702
79.6 IPS |
|
|
Face Detection (Q)
|
100% |
3841
45.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6794
52.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
12685
98.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8951
70.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21244
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
33924
43.6 IPS |
|
|
Style Transfer (Q)
|
96% |
27649
35.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4737
174.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5785
213.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4359
161.0 IPS |
|
|
Text Classification (SP)
|
100% |
3245
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
5493
7.33 KIPS |
|
|
Text Classification (Q)
|
93% |
5465
7.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3087
53.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7302
126.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7250
125.3 IPS |
