iPhone 16 Pro Max
Geekbench AI Score
4623
Single Precision Score
35117
Half Precision Score
48252
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | March 01 2026 10:24 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.4 |
| 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% |
1978
367.9 IPS |
|
|
Image Classification (HP)
|
100% |
14433
2.68 KIPS |
|
|
Image Classification (Q)
|
97% |
18625
3.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1830
29.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
17989
291.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
24482
396.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7158
8.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
147172
171.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
288319
337.9 IPS |
|
|
Object Detection (SP)
|
100% |
2374
188.3 IPS |
|
|
Object Detection (HP)
|
100% |
15829
1.26 KIPS |
|
|
Object Detection (Q)
|
89% |
21720
1.74 KIPS |
|
|
Face Detection (SP)
|
100% |
3801
45.2 IPS |
|
|
Face Detection (HP)
|
100% |
40980
486.9 IPS |
|
|
Face Detection (Q)
|
100% |
61941
736.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7307
56.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
95249
733.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
158620
1.24 KIPS |
|
|
Style Transfer (SP)
|
100% |
19906
25.6 IPS |
|
|
Style Transfer (HP)
|
100% |
247145
317.7 IPS |
|
|
Style Transfer (Q)
|
96% |
296730
382.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4733
174.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51814
1.91 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
76460
2.82 KIPS |
|
|
Text Classification (SP)
|
100% |
6946
9.27 KIPS |
|
|
Text Classification (HP)
|
99% |
10463
14.0 KIPS |
|
|
Text Classification (Q)
|
92% |
10694
14.4 KIPS |
|
|
Machine Translation (SP)
|
100% |
3990
68.7 IPS |
|
|
Machine Translation (HP)
|
100% |
9019
155.4 IPS |
|
|
Machine Translation (Q)
|
98% |
10051
173.7 IPS |
