iPhone 17 Pro Max
Geekbench AI Score
5174
Single Precision Score
8393
Half Precision Score
6646
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 21 2026 10:47 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 11.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2336
434.4 IPS |
|
|
Image Classification (HP)
|
100% |
3778
702.6 IPS |
|
|
Image Classification (Q)
|
96% |
2505
467.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2127
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3014
48.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3420
55.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10837
12.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19290
22.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
16474
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2645
209.8 IPS |
|
|
Object Detection (HP)
|
97% |
4194
333.9 IPS |
|
|
Object Detection (Q)
|
94% |
2890
230.4 IPS |
|
|
Face Detection (SP)
|
100% |
4648
55.2 IPS |
|
|
Face Detection (HP)
|
100% |
8592
102.1 IPS |
|
|
Face Detection (Q)
|
100% |
4445
52.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8545
65.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14275
110.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10093
78.8 IPS |
|
|
Style Transfer (SP)
|
100% |
24648
31.7 IPS |
|
|
Style Transfer (HP)
|
100% |
38837
49.9 IPS |
|
|
Style Transfer (Q)
|
96% |
31609
40.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5687
210.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6915
255.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4979
183.9 IPS |
|
|
Text Classification (SP)
|
100% |
3267
4.36 KIPS |
|
|
Text Classification (HP)
|
99% |
6077
8.11 KIPS |
|
|
Text Classification (Q)
|
93% |
6034
8.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
5313
91.5 IPS |
|
|
Machine Translation (HP)
|
98% |
9414
162.7 IPS |
|
|
Machine Translation (Q)
|
98% |
9687
167.4 IPS |
