iPhone 17 Pro Max
Geekbench AI Score
5051
Single Precision Score
36408
Half Precision Score
49058
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | tyoung89 |
| Upload Date | February 02 2026 11:23 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% |
2337
434.6 IPS |
|
|
Image Classification (HP)
|
100% |
17016
3.16 KIPS |
|
|
Image Classification (Q)
|
97% |
21544
4.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2109
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
19920
322.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
25019
405.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9977
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
152825
178.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
285049
334.1 IPS |
|
|
Object Detection (SP)
|
100% |
2582
204.8 IPS |
|
|
Object Detection (HP)
|
100% |
17902
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
25929
2.07 KIPS |
|
|
Face Detection (SP)
|
100% |
4276
50.8 IPS |
|
|
Face Detection (HP)
|
100% |
41122
488.6 IPS |
|
|
Face Detection (Q)
|
100% |
52509
623.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8311
64.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
104932
808.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
163182
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
24212
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
257944
331.6 IPS |
|
|
Style Transfer (Q)
|
96% |
350563
452.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5386
198.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56131
2.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84857
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3483
4.65 KIPS |
|
|
Text Classification (HP)
|
99% |
6382
8.52 KIPS |
|
|
Text Classification (Q)
|
93% |
6352
8.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
5276
90.9 IPS |
|
|
Machine Translation (HP)
|
100% |
11068
190.6 IPS |
|
|
Machine Translation (Q)
|
98% |
12520
216.4 IPS |
