iPhone 16 Pro Max
Geekbench AI Score
4550
Single Precision Score
33212
Half Precision Score
44560
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | November 07 2025 03:34 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
2000
372.0 IPS |
|
|
Image Classification (HP)
|
100% |
14483
2.69 KIPS |
|
|
Image Classification (Q)
|
97% |
18574
3.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1831
29.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18155
294.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
23481
380.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8879
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
150702
175.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
288686
338.4 IPS |
|
|
Object Detection (SP)
|
100% |
2328
184.7 IPS |
|
|
Object Detection (HP)
|
100% |
15441
1.22 KIPS |
|
|
Object Detection (Q)
|
91% |
21223
1.70 KIPS |
|
|
Face Detection (SP)
|
100% |
3624
43.1 IPS |
|
|
Face Detection (HP)
|
100% |
39832
473.3 IPS |
|
|
Face Detection (Q)
|
100% |
53047
630.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8145
62.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
94877
731.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
151408
1.18 KIPS |
|
|
Style Transfer (SP)
|
100% |
21541
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
244522
314.3 IPS |
|
|
Style Transfer (Q)
|
96% |
294903
380.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5291
195.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50933
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78654
2.90 KIPS |
|
|
Text Classification (SP)
|
100% |
3689
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6120
8.17 KIPS |
|
|
Text Classification (Q)
|
93% |
6071
8.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
4056
69.9 IPS |
|
|
Machine Translation (HP)
|
100% |
9267
159.6 IPS |
|
|
Machine Translation (Q)
|
98% |
10214
176.5 IPS |
