iPhone 17 Pro Max
Geekbench AI Score
5048
Single Precision Score
36247
Half Precision Score
49467
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | lksptz |
| Upload Date | January 04 2026 09:04 PM |
| Views | 9 |
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% |
2321
431.7 IPS |
|
|
Image Classification (HP)
|
100% |
16647
3.10 KIPS |
|
|
Image Classification (Q)
|
97% |
22566
4.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2158
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
20193
327.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
24598
398.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9505
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
150067
175.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
279867
328.0 IPS |
|
|
Object Detection (SP)
|
100% |
2519
199.8 IPS |
|
|
Object Detection (HP)
|
100% |
17533
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
25477
2.04 KIPS |
|
|
Face Detection (SP)
|
100% |
4452
52.9 IPS |
|
|
Face Detection (HP)
|
100% |
41044
487.7 IPS |
|
|
Face Detection (Q)
|
100% |
56881
675.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8434
65.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
104600
805.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
166749
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
24195
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
258011
331.7 IPS |
|
|
Style Transfer (Q)
|
96% |
350471
452.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5376
198.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55964
2.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84430
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3520
4.70 KIPS |
|
|
Text Classification (HP)
|
99% |
6405
8.55 KIPS |
|
|
Text Classification (Q)
|
93% |
6383
8.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
5220
89.9 IPS |
|
|
Machine Translation (HP)
|
100% |
11151
192.1 IPS |
|
|
Machine Translation (Q)
|
98% |
12374
213.8 IPS |
