iPhone 17 Pro Max
Geekbench AI Score
4570
Single Precision Score
32813
Half Precision Score
45313
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Anonymous1234567890 |
| Upload Date | March 30 2026 11:12 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.4 |
| 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% |
1888
351.2 IPS |
|
|
Image Classification (HP)
|
100% |
14792
2.75 KIPS |
|
|
Image Classification (Q)
|
97% |
21676
4.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1865
30.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
16564
268.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
22350
362.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7926
9.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
118823
138.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
221356
259.4 IPS |
|
|
Object Detection (SP)
|
100% |
2226
176.6 IPS |
|
|
Object Detection (HP)
|
100% |
15925
1.26 KIPS |
|
|
Object Detection (Q)
|
89% |
22089
1.77 KIPS |
|
|
Face Detection (SP)
|
100% |
4081
48.5 IPS |
|
|
Face Detection (HP)
|
100% |
34205
406.4 IPS |
|
|
Face Detection (Q)
|
100% |
48388
575.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7104
54.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
89216
687.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
150878
1.18 KIPS |
|
|
Style Transfer (SP)
|
100% |
19920
25.6 IPS |
|
|
Style Transfer (HP)
|
100% |
209045
268.7 IPS |
|
|
Style Transfer (Q)
|
96% |
266561
344.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4642
171.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49525
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
75473
2.79 KIPS |
|
|
Text Classification (SP)
|
99% |
5533
7.39 KIPS |
|
|
Text Classification (HP)
|
99% |
9511
12.7 KIPS |
|
|
Text Classification (Q)
|
93% |
9373
12.6 KIPS |
|
|
Machine Translation (SP)
|
100% |
4313
74.3 IPS |
|
|
Machine Translation (HP)
|
100% |
10388
178.9 IPS |
|
|
Machine Translation (Q)
|
98% |
11193
193.4 IPS |
