iPhone 16 Pro Max
Geekbench AI Score
4393
Single Precision Score
32988
Half Precision Score
44715
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | blackowl |
| Upload Date | September 21 2025 03:15 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% |
1966
365.7 IPS |
|
|
Image Classification (HP)
|
100% |
14395
2.68 KIPS |
|
|
Image Classification (Q)
|
97% |
18657
3.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1732
28.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
18137
294.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
23655
383.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8232
9.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
143556
167.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
287480
336.9 IPS |
|
|
Object Detection (SP)
|
100% |
2261
179.3 IPS |
|
|
Object Detection (HP)
|
100% |
15742
1.25 KIPS |
|
|
Object Detection (Q)
|
91% |
21434
1.71 KIPS |
|
|
Face Detection (SP)
|
100% |
3485
41.4 IPS |
|
|
Face Detection (HP)
|
100% |
39454
468.8 IPS |
|
|
Face Detection (Q)
|
100% |
52820
627.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7859
60.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
94024
724.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
149999
1.17 KIPS |
|
|
Style Transfer (SP)
|
100% |
20685
26.6 IPS |
|
|
Style Transfer (HP)
|
100% |
243014
312.4 IPS |
|
|
Style Transfer (Q)
|
96% |
297140
383.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4896
180.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50999
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77827
2.87 KIPS |
|
|
Text Classification (SP)
|
100% |
3777
5.04 KIPS |
|
|
Text Classification (HP)
|
99% |
6155
8.22 KIPS |
|
|
Text Classification (Q)
|
93% |
6144
8.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
4037
69.5 IPS |
|
|
Machine Translation (HP)
|
100% |
9141
157.4 IPS |
|
|
Machine Translation (Q)
|
98% |
10440
180.4 IPS |
