iPhone 16 Pro Max
Geekbench AI Score
4468
Single Precision Score
32952
Half Precision Score
44541
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | krdrever |
| Upload Date | August 17 2025 08:05 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1995
370.9 IPS |
|
|
Image Classification (HP)
|
100% |
14395
2.68 KIPS |
|
|
Image Classification (Q)
|
97% |
18729
3.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1743
28.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
18049
292.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
23517
381.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8689
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
146418
170.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
288106
337.7 IPS |
|
|
Object Detection (SP)
|
100% |
2257
179.0 IPS |
|
|
Object Detection (HP)
|
100% |
15461
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
20738
1.66 KIPS |
|
|
Face Detection (SP)
|
100% |
3582
42.6 IPS |
|
|
Face Detection (HP)
|
100% |
39425
468.5 IPS |
|
|
Face Detection (Q)
|
100% |
53497
635.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8040
61.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
93640
721.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
153646
1.20 KIPS |
|
|
Style Transfer (SP)
|
100% |
20762
26.7 IPS |
|
|
Style Transfer (HP)
|
100% |
243769
313.4 IPS |
|
|
Style Transfer (Q)
|
96% |
294511
380.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5198
191.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50658
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78408
2.90 KIPS |
|
|
Text Classification (SP)
|
100% |
3705
4.94 KIPS |
|
|
Text Classification (HP)
|
99% |
6248
8.34 KIPS |
|
|
Text Classification (Q)
|
93% |
6171
8.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
4039
69.6 IPS |
|
|
Machine Translation (HP)
|
100% |
9012
155.2 IPS |
|
|
Machine Translation (Q)
|
98% |
9972
172.3 IPS |
