iPhone 16 Pro Max
Geekbench AI Score
4537
Single Precision Score
33169
Half Precision Score
44787
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | February 07 2026 10:15 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| Model | iPhone 16 Pro Max |
| Model ID | iPhone17,2 |
| Motherboard | D94AP |
| CPU Information | |
|---|---|
| Name | Apple A18 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2033
378.0 IPS |
|
|
Image Classification (HP)
|
100% |
14625
2.72 KIPS |
|
|
Image Classification (Q)
|
97% |
18608
3.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1813
29.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
18140
294.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
23581
382.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8860
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
148600
173.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
288868
338.6 IPS |
|
|
Object Detection (SP)
|
100% |
2244
178.0 IPS |
|
|
Object Detection (HP)
|
100% |
15442
1.22 KIPS |
|
|
Object Detection (Q)
|
91% |
21230
1.70 KIPS |
|
|
Face Detection (SP)
|
100% |
3579
42.5 IPS |
|
|
Face Detection (HP)
|
100% |
39970
474.9 IPS |
|
|
Face Detection (Q)
|
100% |
53085
630.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7987
61.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
94818
730.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
153900
1.20 KIPS |
|
|
Style Transfer (SP)
|
100% |
21687
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
244403
314.2 IPS |
|
|
Style Transfer (Q)
|
96% |
294542
380.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5355
197.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51044
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79883
2.95 KIPS |
|
|
Text Classification (SP)
|
100% |
3745
5.00 KIPS |
|
|
Text Classification (HP)
|
99% |
6143
8.20 KIPS |
|
|
Text Classification (Q)
|
93% |
6104
8.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
4058
69.9 IPS |
|
|
Machine Translation (HP)
|
100% |
9118
157.1 IPS |
|
|
Machine Translation (Q)
|
98% |
10285
177.7 IPS |
