iPhone 17 Pro Max
Geekbench AI Score
5258
Single Precision Score
36157
Half Precision Score
48526
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | KorTECK |
| Upload Date | January 27 2026 06:54 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| 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% |
2369
440.5 IPS |
|
|
Image Classification (HP)
|
100% |
16460
3.06 KIPS |
|
|
Image Classification (Q)
|
97% |
21962
4.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2173
35.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
19914
322.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
25547
414.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11240
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
160709
187.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
298071
349.4 IPS |
|
|
Object Detection (SP)
|
100% |
2715
215.4 IPS |
|
|
Object Detection (HP)
|
100% |
17442
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
25075
2.00 KIPS |
|
|
Face Detection (SP)
|
100% |
4759
56.5 IPS |
|
|
Face Detection (HP)
|
100% |
41280
490.5 IPS |
|
|
Face Detection (Q)
|
100% |
49820
592.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8472
65.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
105071
809.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
164995
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
25080
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
260180
334.5 IPS |
|
|
Style Transfer (Q)
|
96% |
350388
452.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5821
214.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56448
2.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84090
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3300
4.40 KIPS |
|
|
Text Classification (HP)
|
99% |
6062
8.09 KIPS |
|
|
Text Classification (Q)
|
93% |
5943
7.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
5301
91.3 IPS |
|
|
Machine Translation (HP)
|
100% |
10765
185.4 IPS |
|
|
Machine Translation (Q)
|
98% |
11997
207.3 IPS |
