iPhone 17 Pro Max
Geekbench AI Score
5165
Single Precision Score
36160
Half Precision Score
48845
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | IGeek |
| Upload Date | February 18 2026 09:06 AM |
| 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% |
2336
434.5 IPS |
|
|
Image Classification (HP)
|
100% |
16133
3.00 KIPS |
|
|
Image Classification (Q)
|
97% |
22378
4.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2132
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
19799
320.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
25508
413.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11042
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
160616
187.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
298372
349.7 IPS |
|
|
Object Detection (SP)
|
100% |
2654
210.5 IPS |
|
|
Object Detection (HP)
|
100% |
17385
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
25220
2.02 KIPS |
|
|
Face Detection (SP)
|
100% |
4657
55.3 IPS |
|
|
Face Detection (HP)
|
100% |
41165
489.1 IPS |
|
|
Face Detection (Q)
|
100% |
52675
625.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8347
64.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
104781
807.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
160149
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
24670
31.7 IPS |
|
|
Style Transfer (HP)
|
100% |
259224
333.2 IPS |
|
|
Style Transfer (Q)
|
96% |
352214
454.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5665
209.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56958
2.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84360
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3251
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
6081
8.12 KIPS |
|
|
Text Classification (Q)
|
93% |
5972
8.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
5244
90.3 IPS |
|
|
Machine Translation (HP)
|
100% |
11066
190.6 IPS |
|
|
Machine Translation (Q)
|
98% |
12023
207.8 IPS |
