iPhone 17 Pro Max
Geekbench AI Score
5090
Single Precision Score
35823
Half Precision Score
49508
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 06 2026 12:07 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
2358
438.5 IPS |
|
|
Image Classification (HP)
|
100% |
16041
2.98 KIPS |
|
|
Image Classification (Q)
|
97% |
21644
4.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2098
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
19402
314.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
26062
422.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9874
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
152235
177.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
295275
346.1 IPS |
|
|
Object Detection (SP)
|
100% |
2590
205.4 IPS |
|
|
Object Detection (HP)
|
100% |
17307
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
25551
2.04 KIPS |
|
|
Face Detection (SP)
|
100% |
4545
54.0 IPS |
|
|
Face Detection (HP)
|
100% |
41014
487.3 IPS |
|
|
Face Detection (Q)
|
100% |
54093
642.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8454
65.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
104770
807.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
173956
1.36 KIPS |
|
|
Style Transfer (SP)
|
100% |
24608
31.6 IPS |
|
|
Style Transfer (HP)
|
100% |
258387
332.2 IPS |
|
|
Style Transfer (Q)
|
96% |
350679
452.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5626
207.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56274
2.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86230
3.18 KIPS |
|
|
Text Classification (SP)
|
100% |
3291
4.39 KIPS |
|
|
Text Classification (HP)
|
99% |
6110
8.15 KIPS |
|
|
Text Classification (Q)
|
93% |
6071
8.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
5272
90.8 IPS |
|
|
Machine Translation (HP)
|
100% |
11119
191.5 IPS |
|
|
Machine Translation (Q)
|
98% |
12033
207.9 IPS |
