iPhone 16 Pro Max
Geekbench AI Score
4589
Single Precision Score
33133
Half Precision Score
46085
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 12 2025 03:02 AM |
| Views | 4 |
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% |
2075
385.8 IPS |
|
|
Image Classification (HP)
|
100% |
15444
2.87 KIPS |
|
|
Image Classification (Q)
|
97% |
21719
4.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1963
31.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
18241
295.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
24035
389.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9173
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
153673
179.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
292949
343.4 IPS |
|
|
Object Detection (SP)
|
100% |
2319
183.9 IPS |
|
|
Object Detection (HP)
|
100% |
16276
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22699
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
3852
45.8 IPS |
|
|
Face Detection (HP)
|
100% |
41197
489.5 IPS |
|
|
Face Detection (Q)
|
100% |
58065
689.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8295
63.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
95308
734.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
160267
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
20336
26.1 IPS |
|
|
Style Transfer (HP)
|
100% |
245752
315.9 IPS |
|
|
Style Transfer (Q)
|
96% |
302886
390.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5268
194.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50994
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85993
3.18 KIPS |
|
|
Text Classification (SP)
|
100% |
3380
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
4450
5.94 KIPS |
|
|
Text Classification (Q)
|
93% |
4458
5.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
4133
71.2 IPS |
|
|
Machine Translation (HP)
|
100% |
10335
178.0 IPS |
|
|
Machine Translation (Q)
|
98% |
11522
199.1 IPS |
