iPhone 17 Pro Max
Geekbench AI Score
5186
Single Precision Score
36095
Half Precision Score
48642
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | RenLee_1914 |
| Upload Date | March 01 2026 05:09 PM |
| Views | 5 |
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 | 11.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2344
435.8 IPS |
|
|
Image Classification (HP)
|
100% |
16006
2.98 KIPS |
|
|
Image Classification (Q)
|
97% |
21302
3.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2149
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
19585
317.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
25452
412.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10747
12.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
160482
187.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
298409
349.8 IPS |
|
|
Object Detection (SP)
|
100% |
2713
215.2 IPS |
|
|
Object Detection (HP)
|
100% |
17245
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
24964
1.99 KIPS |
|
|
Face Detection (SP)
|
100% |
4672
55.5 IPS |
|
|
Face Detection (HP)
|
100% |
40892
485.9 IPS |
|
|
Face Detection (Q)
|
100% |
53390
634.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8435
65.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
104831
807.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
162713
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
24828
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
259870
334.1 IPS |
|
|
Style Transfer (Q)
|
96% |
349872
451.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5613
207.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55490
2.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83558
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3255
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
6496
8.67 KIPS |
|
|
Text Classification (Q)
|
93% |
6057
8.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
5360
92.3 IPS |
|
|
Machine Translation (HP)
|
100% |
10778
185.7 IPS |
|
|
Machine Translation (Q)
|
98% |
11935
206.2 IPS |
