iPhone 17 Pro Max
Geekbench AI Score
5145
Single Precision Score
36014
Half Precision Score
48897
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| Upload Date | February 12 2026 12:42 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| Model | iPhone 17 Pro Max |
| Model ID | iPhone18,2 |
| Motherboard | V54AP |
| CPU Information | |
|---|---|
| Name | Apple A19 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2322
431.8 IPS |
|
|
Image Classification (HP)
|
100% |
16218
3.02 KIPS |
|
|
Image Classification (Q)
|
97% |
20848
3.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2136
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
20220
327.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
26300
426.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10910
12.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
159842
186.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
298219
349.5 IPS |
|
|
Object Detection (SP)
|
100% |
2662
211.2 IPS |
|
|
Object Detection (HP)
|
100% |
17238
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
25060
2.00 KIPS |
|
|
Face Detection (SP)
|
100% |
4711
56.0 IPS |
|
|
Face Detection (HP)
|
100% |
40850
485.4 IPS |
|
|
Face Detection (Q)
|
100% |
53592
636.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8398
64.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
105605
813.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
164914
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
24085
31.0 IPS |
|
|
Style Transfer (HP)
|
100% |
260040
334.3 IPS |
|
|
Style Transfer (Q)
|
96% |
349975
451.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5666
209.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55151
2.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84697
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3162
4.22 KIPS |
|
|
Text Classification (HP)
|
99% |
6037
8.06 KIPS |
|
|
Text Classification (Q)
|
93% |
6069
8.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
5292
91.2 IPS |
|
|
Machine Translation (HP)
|
100% |
10877
187.4 IPS |
|
|
Machine Translation (Q)
|
98% |
11993
207.3 IPS |
