iPhone 17 Pro Max
Geekbench AI Score
5212
Single Precision Score
36404
Half Precision Score
49168
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | February 07 2026 04:03 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| 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% |
2370
440.7 IPS |
|
|
Image Classification (HP)
|
100% |
16150
3.00 KIPS |
|
|
Image Classification (Q)
|
97% |
22178
4.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2122
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
20084
325.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
25963
420.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10606
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
159559
186.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
297619
348.8 IPS |
|
|
Object Detection (SP)
|
100% |
2698
214.0 IPS |
|
|
Object Detection (HP)
|
100% |
17680
1.40 KIPS |
|
|
Object Detection (Q)
|
91% |
25123
2.01 KIPS |
|
|
Face Detection (SP)
|
100% |
4656
55.3 IPS |
|
|
Face Detection (HP)
|
100% |
41027
487.5 IPS |
|
|
Face Detection (Q)
|
100% |
51613
613.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8655
66.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
107216
826.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
170224
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
25354
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
259296
333.3 IPS |
|
|
Style Transfer (Q)
|
96% |
350702
452.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5735
211.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
57606
2.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85501
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3321
4.43 KIPS |
|
|
Text Classification (HP)
|
99% |
6236
8.32 KIPS |
|
|
Text Classification (Q)
|
93% |
5983
8.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
5290
91.1 IPS |
|
|
Machine Translation (HP)
|
100% |
10906
187.9 IPS |
|
|
Machine Translation (Q)
|
98% |
12170
210.3 IPS |
