iPhone 17 Pro Max
Geekbench AI Score
5128
Single Precision Score
36083
Half Precision Score
49564
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 04 2026 10:19 AM |
| Views | 5 |
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% |
2342
435.6 IPS |
|
|
Image Classification (HP)
|
100% |
16237
3.02 KIPS |
|
|
Image Classification (Q)
|
97% |
21578
4.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2108
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
20210
327.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
25646
415.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10063
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
153250
178.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
294082
344.7 IPS |
|
|
Object Detection (SP)
|
100% |
2602
206.4 IPS |
|
|
Object Detection (HP)
|
100% |
17613
1.40 KIPS |
|
|
Object Detection (Q)
|
91% |
25605
2.05 KIPS |
|
|
Face Detection (SP)
|
100% |
4567
54.3 IPS |
|
|
Face Detection (HP)
|
100% |
41207
489.6 IPS |
|
|
Face Detection (Q)
|
100% |
53248
632.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8341
64.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
105047
809.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
170998
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
24644
31.7 IPS |
|
|
Style Transfer (HP)
|
100% |
259435
333.5 IPS |
|
|
Style Transfer (Q)
|
96% |
351781
454.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5567
205.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55505
2.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85063
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3577
4.77 KIPS |
|
|
Text Classification (HP)
|
99% |
6128
8.18 KIPS |
|
|
Text Classification (Q)
|
93% |
6466
8.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
5213
89.8 IPS |
|
|
Machine Translation (HP)
|
100% |
11061
190.5 IPS |
|
|
Machine Translation (Q)
|
98% |
12189
210.6 IPS |
