iPhone 17 Pro Max
Geekbench AI Score
5157
Single Precision Score
8401
Half Precision Score
6601
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | TheSub |
| Upload Date | January 28 2026 03:43 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| 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% |
2320
431.5 IPS |
|
|
Image Classification (HP)
|
100% |
3689
686.1 IPS |
|
|
Image Classification (Q)
|
96% |
2489
464.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2185
35.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3041
49.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3394
55.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10332
12.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
19254
22.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
16067
18.8 IPS |
|
|
Object Detection (SP)
|
100% |
2551
202.3 IPS |
|
|
Object Detection (HP)
|
97% |
4151
330.4 IPS |
|
|
Object Detection (Q)
|
94% |
2805
223.6 IPS |
|
|
Face Detection (SP)
|
100% |
4470
53.1 IPS |
|
|
Face Detection (HP)
|
100% |
8442
100.3 IPS |
|
|
Face Detection (Q)
|
100% |
4330
51.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8422
64.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14073
108.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9917
77.4 IPS |
|
|
Style Transfer (SP)
|
100% |
24469
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
38454
49.4 IPS |
|
|
Style Transfer (Q)
|
96% |
31477
40.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5634
208.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6958
256.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4995
184.4 IPS |
|
|
Text Classification (SP)
|
100% |
3600
4.81 KIPS |
|
|
Text Classification (HP)
|
99% |
6536
8.72 KIPS |
|
|
Text Classification (Q)
|
93% |
6394
8.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
5336
91.9 IPS |
|
|
Machine Translation (HP)
|
98% |
9405
162.5 IPS |
|
|
Machine Translation (Q)
|
98% |
9566
165.3 IPS |
