iPhone 17 Pro Max
Geekbench AI Score
9193
Single Precision Score
17405
Half Precision Score
17946
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | Tom34772 |
| Upload Date | December 29 2025 05:25 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 11.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4314
802.3 IPS |
|
|
Image Classification (HP)
|
100% |
8619
1.60 KIPS |
|
|
Image Classification (Q)
|
97% |
7848
1.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6166
100.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9721
157.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
10795
175.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
20401
23.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
54548
63.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
59503
69.7 IPS |
|
|
Object Detection (SP)
|
100% |
4548
360.8 IPS |
|
|
Object Detection (HP)
|
100% |
8552
678.3 IPS |
|
|
Object Detection (Q)
|
92% |
8429
673.1 IPS |
|
|
Face Detection (SP)
|
100% |
12281
145.9 IPS |
|
|
Face Detection (HP)
|
100% |
26450
314.3 IPS |
|
|
Face Detection (Q)
|
100% |
19564
232.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
18218
140.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
35688
275.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
39745
310.1 IPS |
|
|
Style Transfer (SP)
|
100% |
44151
56.8 IPS |
|
|
Style Transfer (HP)
|
100% |
95673
123.0 IPS |
|
|
Style Transfer (Q)
|
96% |
120405
155.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10464
386.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18465
681.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22176
818.9 IPS |
|
|
Text Classification (SP)
|
100% |
3516
4.69 KIPS |
|
|
Text Classification (HP)
|
99% |
6439
8.59 KIPS |
|
|
Text Classification (Q)
|
93% |
6461
8.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
4810
82.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6080
104.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6081
105.1 IPS |
