iPhone 16 Pro Max
Geekbench AI Score
4259
Single Precision Score
31289
Half Precision Score
43985
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 09 2025 09:38 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
1978
367.9 IPS |
|
|
Image Classification (HP)
|
100% |
9241
1.72 KIPS |
|
|
Image Classification (Q)
|
97% |
18613
3.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1755
28.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
18016
292.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
23702
384.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8752
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
150920
176.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
289185
338.9 IPS |
|
|
Object Detection (SP)
|
100% |
2320
184.0 IPS |
|
|
Object Detection (HP)
|
100% |
15514
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
21287
1.70 KIPS |
|
|
Face Detection (SP)
|
100% |
3646
43.3 IPS |
|
|
Face Detection (HP)
|
100% |
39797
472.9 IPS |
|
|
Face Detection (Q)
|
100% |
53037
630.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8283
63.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
94198
725.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
154460
1.21 KIPS |
|
|
Style Transfer (SP)
|
100% |
22642
29.1 IPS |
|
|
Style Transfer (HP)
|
100% |
244380
314.2 IPS |
|
|
Style Transfer (Q)
|
96% |
294691
380.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4687
173.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51665
1.91 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
66488
2.46 KIPS |
|
|
Text Classification (SP)
|
100% |
3439
4.59 KIPS |
|
|
Text Classification (HP)
|
99% |
6104
8.15 KIPS |
|
|
Text Classification (Q)
|
93% |
6073
8.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
2532
43.6 IPS |
|
|
Machine Translation (HP)
|
100% |
7986
137.6 IPS |
|
|
Machine Translation (Q)
|
98% |
10239
176.9 IPS |
