iPhone 16 Pro Max
Geekbench AI Score
2983
Single Precision Score
26725
Half Precision Score
37597
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 03 2025 12:09 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% |
1164
216.5 IPS |
|
|
Image Classification (HP)
|
100% |
11781
2.19 KIPS |
|
|
Image Classification (Q)
|
97% |
15681
2.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1189
19.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
13953
226.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
20450
331.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4535
5.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
110904
129.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
216777
254.1 IPS |
|
|
Object Detection (SP)
|
100% |
1565
124.2 IPS |
|
|
Object Detection (HP)
|
100% |
14050
1.11 KIPS |
|
|
Object Detection (Q)
|
91% |
18045
1.44 KIPS |
|
|
Face Detection (SP)
|
100% |
2677
31.8 IPS |
|
|
Face Detection (HP)
|
100% |
31622
375.7 IPS |
|
|
Face Detection (Q)
|
100% |
46868
556.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5871
45.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
82442
635.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
132310
1.03 KIPS |
|
|
Style Transfer (SP)
|
100% |
11400
14.7 IPS |
|
|
Style Transfer (HP)
|
100% |
192724
247.7 IPS |
|
|
Style Transfer (Q)
|
96% |
246225
317.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4004
147.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40777
1.51 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
68820
2.54 KIPS |
|
|
Text Classification (SP)
|
100% |
2452
3.27 KIPS |
|
|
Text Classification (HP)
|
100% |
3897
5.20 KIPS |
|
|
Text Classification (Q)
|
93% |
4336
5.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
3236
55.7 IPS |
|
|
Machine Translation (HP)
|
100% |
9090
156.6 IPS |
|
|
Machine Translation (Q)
|
98% |
9876
170.7 IPS |
