iPhone 16 Pro Max
Geekbench AI Score
4561
Single Precision Score
33281
Half Precision Score
44681
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | January 13 2026 02:00 PM |
| Views | 6 |
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% |
2004
372.7 IPS |
|
|
Image Classification (HP)
|
100% |
14765
2.75 KIPS |
|
|
Image Classification (Q)
|
97% |
18373
3.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1801
29.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
18134
294.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
23290
377.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8983
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
150981
176.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
288923
338.6 IPS |
|
|
Object Detection (SP)
|
100% |
2316
183.7 IPS |
|
|
Object Detection (HP)
|
100% |
15410
1.22 KIPS |
|
|
Object Detection (Q)
|
91% |
21190
1.69 KIPS |
|
|
Face Detection (SP)
|
100% |
3628
43.1 IPS |
|
|
Face Detection (HP)
|
100% |
39901
474.1 IPS |
|
|
Face Detection (Q)
|
100% |
53286
633.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8102
62.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
94717
729.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
154484
1.21 KIPS |
|
|
Style Transfer (SP)
|
100% |
21609
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
244568
314.4 IPS |
|
|
Style Transfer (Q)
|
96% |
294002
379.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5426
200.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51747
1.91 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78371
2.89 KIPS |
|
|
Text Classification (SP)
|
100% |
3736
4.99 KIPS |
|
|
Text Classification (HP)
|
99% |
6103
8.15 KIPS |
|
|
Text Classification (Q)
|
93% |
6166
8.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
4033
69.5 IPS |
|
|
Machine Translation (HP)
|
100% |
9169
157.9 IPS |
|
|
Machine Translation (Q)
|
98% |
10352
178.9 IPS |
