iPhone 17 Pro Max
Geekbench AI Score
4942
Single Precision Score
35908
Half Precision Score
49005
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | krdrever |
| Upload Date | January 07 2026 08:22 AM |
| Views | 16 |
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% |
2356
438.1 IPS |
|
|
Image Classification (HP)
|
100% |
16377
3.05 KIPS |
|
|
Image Classification (Q)
|
97% |
21506
4.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2074
33.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
20276
328.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
24800
402.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9724
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
148282
173.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
282398
331.0 IPS |
|
|
Object Detection (SP)
|
100% |
2478
196.6 IPS |
|
|
Object Detection (HP)
|
100% |
17621
1.40 KIPS |
|
|
Object Detection (Q)
|
91% |
24957
1.99 KIPS |
|
|
Face Detection (SP)
|
100% |
4082
48.5 IPS |
|
|
Face Detection (HP)
|
100% |
40129
476.8 IPS |
|
|
Face Detection (Q)
|
100% |
53855
639.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8194
63.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
102106
786.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
170714
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
23295
29.9 IPS |
|
|
Style Transfer (HP)
|
100% |
253031
325.3 IPS |
|
|
Style Transfer (Q)
|
96% |
345696
446.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5303
195.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55306
2.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84967
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3478
4.64 KIPS |
|
|
Text Classification (HP)
|
99% |
6392
8.53 KIPS |
|
|
Text Classification (Q)
|
93% |
6279
8.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
5144
88.6 IPS |
|
|
Machine Translation (HP)
|
100% |
11208
193.1 IPS |
|
|
Machine Translation (Q)
|
98% |
12533
216.6 IPS |
