iPhone 17 Pro Max
Geekbench AI Score
5202
Single Precision Score
36551
Half Precision Score
49907
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | jbruce2112 |
| Upload Date | January 10 2026 07:53 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
2334
434.1 IPS |
|
|
Image Classification (HP)
|
100% |
16285
3.03 KIPS |
|
|
Image Classification (Q)
|
97% |
21179
3.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2095
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
20375
330.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
27468
445.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10706
12.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
159770
186.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
298594
350.0 IPS |
|
|
Object Detection (SP)
|
100% |
2698
214.0 IPS |
|
|
Object Detection (HP)
|
100% |
17543
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
25233
2.02 KIPS |
|
|
Face Detection (SP)
|
100% |
4595
54.6 IPS |
|
|
Face Detection (HP)
|
100% |
41168
489.2 IPS |
|
|
Face Detection (Q)
|
100% |
54405
646.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8483
65.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
104268
803.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
171002
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
24903
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
260419
334.8 IPS |
|
|
Style Transfer (Q)
|
96% |
350648
452.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5569
205.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
58592
2.16 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87289
3.22 KIPS |
|
|
Text Classification (SP)
|
100% |
3595
4.80 KIPS |
|
|
Text Classification (HP)
|
99% |
6444
8.60 KIPS |
|
|
Text Classification (Q)
|
93% |
6363
8.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
5291
91.1 IPS |
|
|
Machine Translation (HP)
|
100% |
10844
186.8 IPS |
|
|
Machine Translation (Q)
|
98% |
12071
208.6 IPS |
