iPhone 17 Pro Max
Geekbench AI Score
9138
Single Precision Score
17244
Half Precision Score
17667
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | abhimanbhau |
| Upload Date | January 09 2026 03:57 AM |
| Views | 6 |
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 | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4355
809.9 IPS |
|
|
Image Classification (HP)
|
100% |
8596
1.60 KIPS |
|
|
Image Classification (Q)
|
97% |
7827
1.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6074
98.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9569
155.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10659
172.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
20266
23.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
53990
63.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
58876
69.0 IPS |
|
|
Object Detection (SP)
|
100% |
4465
354.2 IPS |
|
|
Object Detection (HP)
|
100% |
8552
678.3 IPS |
|
|
Object Detection (Q)
|
92% |
8436
673.7 IPS |
|
|
Face Detection (SP)
|
100% |
12257
145.6 IPS |
|
|
Face Detection (HP)
|
100% |
26211
311.4 IPS |
|
|
Face Detection (Q)
|
100% |
19544
232.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
17935
138.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
35620
274.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
38565
300.9 IPS |
|
|
Style Transfer (SP)
|
100% |
43983
56.5 IPS |
|
|
Style Transfer (HP)
|
100% |
95249
122.4 IPS |
|
|
Style Transfer (Q)
|
96% |
119413
154.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10416
384.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18018
665.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21940
810.1 IPS |
|
|
Text Classification (SP)
|
100% |
3519
4.70 KIPS |
|
|
Text Classification (HP)
|
99% |
6357
8.48 KIPS |
|
|
Text Classification (Q)
|
93% |
6030
8.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
4787
82.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6011
103.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6004
103.7 IPS |
