iPhone 16 Pro Max
Geekbench AI Score
4314
Single Precision Score
33084
Half Precision Score
44954
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 14 2025 12:41 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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% |
1971
366.5 IPS |
|
|
Image Classification (HP)
|
100% |
14180
2.64 KIPS |
|
|
Image Classification (Q)
|
97% |
17735
3.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1697
27.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
17962
291.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
23188
375.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8198
9.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
140786
164.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
288524
338.2 IPS |
|
|
Object Detection (SP)
|
100% |
2269
180.0 IPS |
|
|
Object Detection (HP)
|
100% |
15633
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
21162
1.69 KIPS |
|
|
Face Detection (SP)
|
100% |
3441
40.9 IPS |
|
|
Face Detection (HP)
|
100% |
39233
466.2 IPS |
|
|
Face Detection (Q)
|
100% |
53634
637.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7657
59.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
92249
710.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
155205
1.21 KIPS |
|
|
Style Transfer (SP)
|
100% |
20179
25.9 IPS |
|
|
Style Transfer (HP)
|
100% |
242939
312.3 IPS |
|
|
Style Transfer (Q)
|
96% |
295057
380.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5145
190.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51304
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77339
2.86 KIPS |
|
|
Text Classification (SP)
|
100% |
3373
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
5841
7.80 KIPS |
|
|
Text Classification (Q)
|
93% |
5828
7.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
3898
67.1 IPS |
|
|
Machine Translation (HP)
|
100% |
10639
183.3 IPS |
|
|
Machine Translation (Q)
|
98% |
12126
209.6 IPS |
