iPhone 17 Pro Max
Geekbench AI Score
5172
Single Precision Score
8435
Half Precision Score
6661
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | VenomF5 |
| Upload Date | March 08 2026 06:55 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.3.1 |
| 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% |
2324
432.1 IPS |
|
|
Image Classification (HP)
|
100% |
3688
685.8 IPS |
|
|
Image Classification (Q)
|
96% |
2474
462.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2137
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3161
51.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3419
55.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10947
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19491
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16885
19.8 IPS |
|
|
Object Detection (SP)
|
100% |
2678
212.4 IPS |
|
|
Object Detection (HP)
|
97% |
4146
330.1 IPS |
|
|
Object Detection (Q)
|
94% |
2888
230.2 IPS |
|
|
Face Detection (SP)
|
100% |
4706
55.9 IPS |
|
|
Face Detection (HP)
|
100% |
8594
102.1 IPS |
|
|
Face Detection (Q)
|
100% |
4599
54.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8495
65.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14350
110.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10132
79.1 IPS |
|
|
Style Transfer (SP)
|
100% |
24692
31.7 IPS |
|
|
Style Transfer (HP)
|
100% |
37982
48.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31661
40.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5488
202.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7051
260.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4991
184.3 IPS |
|
|
Text Classification (SP)
|
100% |
3271
4.37 KIPS |
|
|
Text Classification (HP)
|
99% |
6208
8.29 KIPS |
|
|
Text Classification (Q)
|
93% |
5946
7.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
5312
91.5 IPS |
|
|
Machine Translation (HP)
|
98% |
9446
163.2 IPS |
|
|
Machine Translation (Q)
|
98% |
9531
164.7 IPS |
