iPhone 17 Pro Max
Geekbench AI Score
5175
Single Precision Score
36380
Half Precision Score
48673
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| Upload Date | February 12 2026 12:40 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
2344
435.8 IPS |
|
|
Image Classification (HP)
|
100% |
16983
3.16 KIPS |
|
|
Image Classification (Q)
|
97% |
20934
3.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2149
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
20418
331.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
26122
423.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10973
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
160141
186.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
297826
349.1 IPS |
|
|
Object Detection (SP)
|
100% |
2670
211.8 IPS |
|
|
Object Detection (HP)
|
100% |
17260
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
24913
1.99 KIPS |
|
|
Face Detection (SP)
|
100% |
4714
56.0 IPS |
|
|
Face Detection (HP)
|
100% |
41102
488.4 IPS |
|
|
Face Detection (Q)
|
100% |
51989
617.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8352
64.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
104513
805.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
162494
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
24545
31.6 IPS |
|
|
Style Transfer (HP)
|
100% |
259455
333.5 IPS |
|
|
Style Transfer (Q)
|
96% |
351613
453.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5565
205.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56178
2.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84386
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3282
4.38 KIPS |
|
|
Text Classification (HP)
|
99% |
6008
8.02 KIPS |
|
|
Text Classification (Q)
|
93% |
6080
8.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
5290
91.1 IPS |
|
|
Machine Translation (HP)
|
100% |
11264
194.0 IPS |
|
|
Machine Translation (Q)
|
98% |
12070
208.6 IPS |
