iPhone 16 Pro Max
Geekbench AI Score
4514
Single Precision Score
33052
Half Precision Score
44654
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | December 17 2025 03:16 AM |
| 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% |
2002
372.2 IPS |
|
|
Image Classification (HP)
|
100% |
14231
2.65 KIPS |
|
|
Image Classification (Q)
|
97% |
18598
3.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1770
28.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18090
293.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
23726
384.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8619
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
146837
171.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
288059
337.6 IPS |
|
|
Object Detection (SP)
|
100% |
2307
183.0 IPS |
|
|
Object Detection (HP)
|
100% |
15477
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
21184
1.69 KIPS |
|
|
Face Detection (SP)
|
100% |
3588
42.6 IPS |
|
|
Face Detection (HP)
|
100% |
39883
473.9 IPS |
|
|
Face Detection (Q)
|
100% |
52676
625.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8059
62.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
94273
726.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
150420
1.18 KIPS |
|
|
Style Transfer (SP)
|
100% |
21619
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
244525
314.3 IPS |
|
|
Style Transfer (Q)
|
96% |
294245
379.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5343
197.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51088
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77572
2.86 KIPS |
|
|
Text Classification (SP)
|
100% |
3673
4.90 KIPS |
|
|
Text Classification (HP)
|
99% |
6180
8.25 KIPS |
|
|
Text Classification (Q)
|
93% |
6271
8.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
4066
70.0 IPS |
|
|
Machine Translation (HP)
|
100% |
9162
157.8 IPS |
|
|
Machine Translation (Q)
|
98% |
10322
178.4 IPS |
