iPhone 16 Pro Max
Geekbench AI Score
4464
Single Precision Score
33248
Half Precision Score
44850
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 05 2025 03:52 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
2040
379.4 IPS |
|
|
Image Classification (HP)
|
100% |
14717
2.74 KIPS |
|
|
Image Classification (Q)
|
97% |
18588
3.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1822
29.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
18141
294.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
23410
379.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8469
9.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
146787
171.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
288611
338.3 IPS |
|
|
Object Detection (SP)
|
100% |
2276
180.5 IPS |
|
|
Object Detection (HP)
|
100% |
15708
1.25 KIPS |
|
|
Object Detection (Q)
|
91% |
21653
1.73 KIPS |
|
|
Face Detection (SP)
|
100% |
3549
42.2 IPS |
|
|
Face Detection (HP)
|
100% |
40386
479.9 IPS |
|
|
Face Detection (Q)
|
100% |
53966
641.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7948
61.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
93589
721.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
149687
1.17 KIPS |
|
|
Style Transfer (SP)
|
100% |
20885
26.8 IPS |
|
|
Style Transfer (HP)
|
100% |
244098
313.8 IPS |
|
|
Style Transfer (Q)
|
96% |
293766
379.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5060
186.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51274
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
81604
3.01 KIPS |
|
|
Text Classification (SP)
|
100% |
3678
4.91 KIPS |
|
|
Text Classification (HP)
|
99% |
6242
8.33 KIPS |
|
|
Text Classification (Q)
|
93% |
6167
8.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
4006
69.0 IPS |
|
|
Machine Translation (HP)
|
100% |
9082
156.4 IPS |
|
|
Machine Translation (Q)
|
98% |
10141
175.2 IPS |
