iPhone 17 Pro Max
Geekbench AI Score
5356
Single Precision Score
38458
Half Precision Score
53023
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | dd1989 |
| Upload Date | March 15 2026 04:33 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2409
447.9 IPS |
|
|
Image Classification (HP)
|
100% |
16106
3.00 KIPS |
|
|
Image Classification (Q)
|
97% |
22625
4.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2169
35.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
20084
325.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
25429
412.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8452
9.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
157920
184.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
293271
343.7 IPS |
|
|
Object Detection (SP)
|
100% |
2731
216.6 IPS |
|
|
Object Detection (HP)
|
100% |
17926
1.42 KIPS |
|
|
Object Detection (Q)
|
89% |
26048
2.09 KIPS |
|
|
Face Detection (SP)
|
100% |
4909
58.3 IPS |
|
|
Face Detection (HP)
|
100% |
42312
502.8 IPS |
|
|
Face Detection (Q)
|
100% |
57256
680.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7972
61.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
104457
804.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
174434
1.36 KIPS |
|
|
Style Transfer (SP)
|
100% |
22147
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
260200
334.5 IPS |
|
|
Style Transfer (Q)
|
96% |
326753
421.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5179
191.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56309
2.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85707
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
6805
9.08 KIPS |
|
|
Text Classification (HP)
|
99% |
10861
14.5 KIPS |
|
|
Text Classification (Q)
|
92% |
11539
15.5 KIPS |
|
|
Machine Translation (SP)
|
100% |
5283
91.0 IPS |
|
|
Machine Translation (HP)
|
100% |
10989
189.3 IPS |
|
|
Machine Translation (Q)
|
98% |
12384
214.0 IPS |
