iPhone 16 Pro Max
Geekbench AI Score
4523
Single Precision Score
33146
Half Precision Score
44463
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | 46fy45 |
| Upload Date | November 05 2025 04:44 AM |
| Views | 12 |
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% |
1988
369.7 IPS |
|
|
Image Classification (HP)
|
100% |
14537
2.70 KIPS |
|
|
Image Classification (Q)
|
97% |
17641
3.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1763
28.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18134
294.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
23603
382.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8677
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
148037
172.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
288719
338.4 IPS |
|
|
Object Detection (SP)
|
100% |
2334
185.2 IPS |
|
|
Object Detection (HP)
|
100% |
15695
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
21379
1.71 KIPS |
|
|
Face Detection (SP)
|
100% |
3612
42.9 IPS |
|
|
Face Detection (HP)
|
100% |
39262
466.5 IPS |
|
|
Face Detection (Q)
|
100% |
52880
628.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8166
62.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
94429
727.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
152528
1.19 KIPS |
|
|
Style Transfer (SP)
|
100% |
21780
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
243922
313.6 IPS |
|
|
Style Transfer (Q)
|
96% |
294177
379.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5210
192.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51493
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79845
2.95 KIPS |
|
|
Text Classification (SP)
|
100% |
3696
4.93 KIPS |
|
|
Text Classification (HP)
|
99% |
6104
8.15 KIPS |
|
|
Text Classification (Q)
|
93% |
6077
8.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
4083
70.3 IPS |
|
|
Machine Translation (HP)
|
100% |
9195
158.4 IPS |
|
|
Machine Translation (Q)
|
98% |
10206
176.4 IPS |
