iPhone 17 Pro Max
Geekbench AI Score
5187
Single Precision Score
36090
Half Precision Score
48999
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | F4T4L1TY |
| Upload Date | February 22 2026 03:43 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2374
441.5 IPS |
|
|
Image Classification (HP)
|
100% |
16311
3.03 KIPS |
|
|
Image Classification (Q)
|
97% |
21569
4.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2154
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
20435
331.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
25776
417.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10831
12.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
159551
186.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
296634
347.7 IPS |
|
|
Object Detection (SP)
|
100% |
2668
211.6 IPS |
|
|
Object Detection (HP)
|
100% |
17274
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
25005
2.00 KIPS |
|
|
Face Detection (SP)
|
100% |
4669
55.5 IPS |
|
|
Face Detection (HP)
|
100% |
41060
487.9 IPS |
|
|
Face Detection (Q)
|
100% |
55600
660.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8381
64.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
105474
812.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
160613
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
24736
31.8 IPS |
|
|
Style Transfer (HP)
|
100% |
260083
334.3 IPS |
|
|
Style Transfer (Q)
|
96% |
351928
454.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5571
205.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55081
2.03 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85262
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3310
4.42 KIPS |
|
|
Text Classification (HP)
|
99% |
6090
8.13 KIPS |
|
|
Text Classification (Q)
|
93% |
5880
7.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
5354
92.2 IPS |
|
|
Machine Translation (HP)
|
100% |
10803
186.1 IPS |
|
|
Machine Translation (Q)
|
98% |
12279
212.2 IPS |
