iPhone 17 Pro Max
Geekbench AI Score
5046
Single Precision Score
36130
Half Precision Score
49546
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | OliJWalker |
| Upload Date | January 06 2026 03:22 PM |
| Views | 4 |
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% |
2284
424.8 IPS |
|
|
Image Classification (HP)
|
100% |
16574
3.08 KIPS |
|
|
Image Classification (Q)
|
97% |
22706
4.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2120
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
19854
321.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
25331
410.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9610
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
149708
174.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
285235
334.3 IPS |
|
|
Object Detection (SP)
|
100% |
2560
203.0 IPS |
|
|
Object Detection (HP)
|
100% |
17324
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
25542
2.04 KIPS |
|
|
Face Detection (SP)
|
100% |
4463
53.0 IPS |
|
|
Face Detection (HP)
|
100% |
41147
488.9 IPS |
|
|
Face Detection (Q)
|
100% |
55949
664.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8325
64.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
105181
810.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
163630
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
24193
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
256143
329.3 IPS |
|
|
Style Transfer (Q)
|
96% |
350757
452.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5372
198.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56307
2.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85480
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3496
4.67 KIPS |
|
|
Text Classification (HP)
|
99% |
6391
8.53 KIPS |
|
|
Text Classification (Q)
|
93% |
6375
8.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
5324
91.7 IPS |
|
|
Machine Translation (HP)
|
100% |
11135
191.8 IPS |
|
|
Machine Translation (Q)
|
98% |
12159
210.1 IPS |
