iPhone 15 Pro Max
Geekbench AI Score
2267
Single Precision Score
4170
Half Precision Score
3318
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| Upload Date | March 01 2026 07:43 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.4 |
| 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% |
880
163.6 IPS |
|
|
Image Classification (HP)
|
100% |
1664
309.4 IPS |
|
|
Image Classification (Q)
|
96% |
1112
207.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
746
12.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1577
25.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
1732
28.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4078
4.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
8946
10.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
8144
9.55 IPS |
|
|
Object Detection (SP)
|
100% |
895
71.0 IPS |
|
|
Object Detection (HP)
|
97% |
1911
152.1 IPS |
|
|
Object Detection (Q)
|
94% |
1349
107.5 IPS |
|
|
Face Detection (SP)
|
100% |
1888
22.4 IPS |
|
|
Face Detection (HP)
|
100% |
3800
45.2 IPS |
|
|
Face Detection (Q)
|
100% |
2101
25.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3834
29.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
7233
55.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
4545
35.5 IPS |
|
|
Style Transfer (SP)
|
100% |
11614
14.9 IPS |
|
|
Style Transfer (HP)
|
100% |
18761
24.1 IPS |
|
|
Style Transfer (Q)
|
96% |
15734
20.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2782
102.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3325
122.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2488
91.9 IPS |
|
|
Text Classification (SP)
|
100% |
3325
4.44 KIPS |
|
|
Text Classification (HP)
|
100% |
5331
7.12 KIPS |
|
|
Text Classification (Q)
|
92% |
5328
7.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
1928
33.2 IPS |
|
|
Machine Translation (HP)
|
98% |
3882
67.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3847
66.5 IPS |
