iPhone 17 Pro Max
Geekbench AI Score
5162
Single Precision Score
36360
Half Precision Score
49833
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | virtuatony95 |
| Upload Date | March 20 2026 03:07 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.3.1 |
| 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% |
2342
435.5 IPS |
|
|
Image Classification (HP)
|
100% |
16187
3.01 KIPS |
|
|
Image Classification (Q)
|
97% |
22884
4.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2114
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
20589
333.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
25539
414.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10441
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
159975
186.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
297515
348.7 IPS |
|
|
Object Detection (SP)
|
100% |
2667
211.6 IPS |
|
|
Object Detection (HP)
|
100% |
17822
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
25488
2.04 KIPS |
|
|
Face Detection (SP)
|
100% |
4676
55.6 IPS |
|
|
Face Detection (HP)
|
100% |
41123
488.6 IPS |
|
|
Face Detection (Q)
|
100% |
54035
642.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8592
66.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
105514
812.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
174555
1.36 KIPS |
|
|
Style Transfer (SP)
|
100% |
25173
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
260194
334.5 IPS |
|
|
Style Transfer (Q)
|
96% |
351824
454.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5661
209.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56693
2.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87596
3.23 KIPS |
|
|
Text Classification (SP)
|
100% |
3252
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
6116
8.16 KIPS |
|
|
Text Classification (Q)
|
93% |
5969
8.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
5240
90.3 IPS |
|
|
Machine Translation (HP)
|
100% |
10860
187.1 IPS |
|
|
Machine Translation (Q)
|
98% |
12283
212.3 IPS |
