iPhone 16 Pro Max
Geekbench AI Score
4581
Single Precision Score
33126
Half Precision Score
46041
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | March 25 2025 10:34 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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 | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2064
383.8 IPS |
|
|
Image Classification (HP)
|
100% |
15227
2.83 KIPS |
|
|
Image Classification (Q)
|
97% |
21433
4.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1986
32.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
18328
297.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
24125
391.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9041
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
152556
178.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
291450
341.6 IPS |
|
|
Object Detection (SP)
|
100% |
2324
184.4 IPS |
|
|
Object Detection (HP)
|
100% |
16197
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
22464
1.79 KIPS |
|
|
Face Detection (SP)
|
100% |
3899
46.3 IPS |
|
|
Face Detection (HP)
|
100% |
41190
489.4 IPS |
|
|
Face Detection (Q)
|
100% |
57466
682.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8185
63.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
94873
730.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
164149
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
19743
25.4 IPS |
|
|
Style Transfer (HP)
|
100% |
245097
315.1 IPS |
|
|
Style Transfer (Q)
|
96% |
304851
393.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5291
195.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49981
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83029
3.07 KIPS |
|
|
Text Classification (SP)
|
100% |
3360
4.48 KIPS |
|
|
Text Classification (HP)
|
100% |
4796
6.40 KIPS |
|
|
Text Classification (Q)
|
93% |
4823
6.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
4227
72.8 IPS |
|
|
Machine Translation (HP)
|
100% |
10052
173.2 IPS |
|
|
Machine Translation (Q)
|
98% |
10980
189.7 IPS |
