iPhone 16 Pro Max
Geekbench AI Score
4621
Single Precision Score
33439
Half Precision Score
45562
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 08 2025 06:05 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
2068
384.6 IPS |
|
|
Image Classification (HP)
|
100% |
15204
2.83 KIPS |
|
|
Image Classification (Q)
|
97% |
19462
3.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1978
32.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
18336
297.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
24038
389.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9226
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
153711
179.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
292454
342.8 IPS |
|
|
Object Detection (SP)
|
100% |
2338
185.5 IPS |
|
|
Object Detection (HP)
|
100% |
16681
1.32 KIPS |
|
|
Object Detection (Q)
|
91% |
22904
1.83 KIPS |
|
|
Face Detection (SP)
|
100% |
3941
46.8 IPS |
|
|
Face Detection (HP)
|
100% |
41213
489.7 IPS |
|
|
Face Detection (Q)
|
100% |
58655
697.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8302
64.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
95167
733.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
162650
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
20404
26.2 IPS |
|
|
Style Transfer (HP)
|
100% |
245368
315.4 IPS |
|
|
Style Transfer (Q)
|
96% |
302902
390.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5255
194.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50868
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84958
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3397
4.53 KIPS |
|
|
Text Classification (HP)
|
100% |
4845
6.47 KIPS |
|
|
Text Classification (Q)
|
93% |
4438
5.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
4225
72.8 IPS |
|
|
Machine Translation (HP)
|
100% |
10311
177.6 IPS |
|
|
Machine Translation (Q)
|
98% |
11293
195.2 IPS |
