iPhone 17 Pro Max
Geekbench AI Score
5184
Single Precision Score
36498
Half Precision Score
48793
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | KorTECK |
| Upload Date | February 23 2026 10:03 PM |
| Views | 8 |
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% |
2367
440.3 IPS |
|
|
Image Classification (HP)
|
100% |
16490
3.07 KIPS |
|
|
Image Classification (Q)
|
97% |
21512
4.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2161
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
20185
327.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
25630
415.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11033
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
160861
187.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
298524
349.9 IPS |
|
|
Object Detection (SP)
|
100% |
2711
215.0 IPS |
|
|
Object Detection (HP)
|
100% |
17448
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
24831
1.98 KIPS |
|
|
Face Detection (SP)
|
100% |
4748
56.4 IPS |
|
|
Face Detection (HP)
|
100% |
41231
489.9 IPS |
|
|
Face Detection (Q)
|
100% |
50455
599.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8384
64.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
104323
803.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
171029
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
24191
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
259508
333.6 IPS |
|
|
Style Transfer (Q)
|
96% |
351390
453.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5752
212.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
58279
2.15 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85105
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3174
4.24 KIPS |
|
|
Text Classification (HP)
|
99% |
6257
8.35 KIPS |
|
|
Text Classification (Q)
|
93% |
5997
8.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
5215
89.8 IPS |
|
|
Machine Translation (HP)
|
100% |
11033
190.1 IPS |
|
|
Machine Translation (Q)
|
98% |
12093
209.0 IPS |
