iPhone 17 Pro Max
Geekbench AI Score
5104
Single Precision Score
36289
Half Precision Score
49708
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | starkAhmed43 |
| Upload Date | January 24 2026 05:29 AM |
| Views | 11 |
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% |
2349
436.9 IPS |
|
|
Image Classification (HP)
|
100% |
16460
3.06 KIPS |
|
|
Image Classification (Q)
|
97% |
22760
4.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2035
33.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
20080
325.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
25388
411.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10458
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
159815
186.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
297758
349.0 IPS |
|
|
Object Detection (SP)
|
100% |
2628
208.4 IPS |
|
|
Object Detection (HP)
|
100% |
17545
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
25394
2.03 KIPS |
|
|
Face Detection (SP)
|
100% |
4590
54.5 IPS |
|
|
Face Detection (HP)
|
100% |
41021
487.4 IPS |
|
|
Face Detection (Q)
|
100% |
57532
683.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8361
64.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
105173
810.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
171466
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
24609
31.6 IPS |
|
|
Style Transfer (HP)
|
100% |
258930
332.9 IPS |
|
|
Style Transfer (Q)
|
96% |
352021
454.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5526
204.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56530
2.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86618
3.20 KIPS |
|
|
Text Classification (SP)
|
100% |
3323
4.44 KIPS |
|
|
Text Classification (HP)
|
99% |
6157
8.22 KIPS |
|
|
Text Classification (Q)
|
93% |
5849
7.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
5269
90.8 IPS |
|
|
Machine Translation (HP)
|
100% |
10993
189.4 IPS |
|
|
Machine Translation (Q)
|
98% |
11984
207.1 IPS |
