iPhone 17 Pro Max
Geekbench AI Score
5116
Single Precision Score
8319
Half Precision Score
6565
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Jolo |
| Upload Date | February 14 2026 07:36 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2333
433.8 IPS |
|
|
Image Classification (HP)
|
100% |
3661
680.8 IPS |
|
|
Image Classification (Q)
|
96% |
2485
464.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2144
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2981
48.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3397
55.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10422
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
19004
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16041
18.8 IPS |
|
|
Object Detection (SP)
|
100% |
2511
199.1 IPS |
|
|
Object Detection (HP)
|
97% |
4148
330.3 IPS |
|
|
Object Detection (Q)
|
94% |
2806
223.7 IPS |
|
|
Face Detection (SP)
|
100% |
4545
54.0 IPS |
|
|
Face Detection (HP)
|
100% |
8468
100.6 IPS |
|
|
Face Detection (Q)
|
100% |
4371
51.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8331
64.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14181
109.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9867
77.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24499
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
37265
47.9 IPS |
|
|
Style Transfer (Q)
|
96% |
30665
39.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5447
201.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6875
253.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4939
182.4 IPS |
|
|
Text Classification (SP)
|
100% |
3541
4.73 KIPS |
|
|
Text Classification (HP)
|
99% |
6388
8.53 KIPS |
|
|
Text Classification (Q)
|
93% |
6413
8.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
5254
90.5 IPS |
|
|
Machine Translation (HP)
|
98% |
9400
162.4 IPS |
|
|
Machine Translation (Q)
|
98% |
9356
161.7 IPS |
