iPhone 15 Pro Max
Geekbench AI Score
3713
Single Precision Score
26404
Half Precision Score
35746
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 14 2026 03:52 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1558
289.8 IPS |
|
|
Image Classification (HP)
|
100% |
10871
2.02 KIPS |
|
|
Image Classification (Q)
|
97% |
14891
2.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1527
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
16715
271.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
21181
343.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7108
8.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
103472
120.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
202013
236.8 IPS |
|
|
Object Detection (SP)
|
100% |
1638
129.9 IPS |
|
|
Object Detection (HP)
|
100% |
13136
1.04 KIPS |
|
|
Object Detection (Q)
|
91% |
17017
1.36 KIPS |
|
|
Face Detection (SP)
|
100% |
2985
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
36921
438.7 IPS |
|
|
Face Detection (Q)
|
100% |
51313
609.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6614
51.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
78145
602.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
122547
958.1 IPS |
|
|
Style Transfer (SP)
|
100% |
20243
26.0 IPS |
|
|
Style Transfer (HP)
|
100% |
202193
259.9 IPS |
|
|
Style Transfer (Q)
|
96% |
243311
314.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4527
167.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34413
1.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56916
2.10 KIPS |
|
|
Text Classification (SP)
|
100% |
3212
4.29 KIPS |
|
|
Text Classification (HP)
|
99% |
5527
7.38 KIPS |
|
|
Text Classification (Q)
|
93% |
5636
7.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
3098
53.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6012
103.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6401
110.6 IPS |
