iPhone 15 Pro Max
Geekbench AI Score
3682
Single Precision Score
25340
Half Precision Score
34557
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Stefcolosi |
| Upload Date | February 20 2026 03:10 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
1554
289.0 IPS |
|
|
Image Classification (HP)
|
100% |
9039
1.68 KIPS |
|
|
Image Classification (Q)
|
97% |
13228
2.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1532
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
16348
265.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
20926
339.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6824
7.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
101952
119.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
199110
233.4 IPS |
|
|
Object Detection (SP)
|
100% |
1637
129.8 IPS |
|
|
Object Detection (HP)
|
100% |
10781
855.1 IPS |
|
|
Object Detection (Q)
|
91% |
17533
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
2999
35.6 IPS |
|
|
Face Detection (HP)
|
100% |
35579
422.8 IPS |
|
|
Face Detection (Q)
|
100% |
48901
581.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6576
50.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
72989
562.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
111835
874.4 IPS |
|
|
Style Transfer (SP)
|
100% |
19406
24.9 IPS |
|
|
Style Transfer (HP)
|
100% |
194343
249.8 IPS |
|
|
Style Transfer (Q)
|
96% |
234021
302.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4354
160.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31098
1.15 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49107
1.81 KIPS |
|
|
Text Classification (SP)
|
100% |
3336
4.45 KIPS |
|
|
Text Classification (HP)
|
99% |
5679
7.58 KIPS |
|
|
Text Classification (Q)
|
93% |
5525
7.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3105
53.5 IPS |
|
|
Machine Translation (HP)
|
100% |
7542
129.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7238
125.1 IPS |
