iPhone 17 Pro Max
Geekbench AI Score
10055
Single Precision Score
18952
Half Precision Score
20285
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | cyberhomie |
| Upload Date | March 25 2026 03:59 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4321
803.6 IPS |
|
|
Image Classification (HP)
|
100% |
8756
1.63 KIPS |
|
|
Image Classification (Q)
|
99% |
8962
1.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6131
99.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9677
156.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
10641
172.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
20448
23.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
54404
63.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
69422
81.4 IPS |
|
|
Object Detection (SP)
|
100% |
4542
360.3 IPS |
|
|
Object Detection (HP)
|
100% |
8715
691.3 IPS |
|
|
Object Detection (Q)
|
94% |
9652
769.6 IPS |
|
|
Face Detection (SP)
|
100% |
12431
147.7 IPS |
|
|
Face Detection (HP)
|
100% |
26755
317.9 IPS |
|
|
Face Detection (Q)
|
100% |
25763
306.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
18191
140.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
33988
261.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
38373
299.6 IPS |
|
|
Style Transfer (SP)
|
100% |
44620
57.4 IPS |
|
|
Style Transfer (HP)
|
100% |
96360
123.9 IPS |
|
|
Style Transfer (Q)
|
96% |
123554
159.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10404
384.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20000
738.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22241
821.3 IPS |
|
|
Text Classification (SP)
|
99% |
6782
9.05 KIPS |
|
|
Text Classification (HP)
|
100% |
10912
14.6 KIPS |
|
|
Text Classification (Q)
|
93% |
10599
14.2 KIPS |
|
|
Machine Translation (SP)
|
100% |
6031
103.9 IPS |
|
|
Machine Translation (HP)
|
100% |
7784
134.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6414
110.8 IPS |
