iPhone 16 Pro Max
Geekbench AI Score
4449
Single Precision Score
33233
Half Precision Score
45080
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | simplemal |
| Upload Date | November 19 2025 01:52 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
1719
319.7 IPS |
|
|
Image Classification (HP)
|
100% |
14459
2.69 KIPS |
|
|
Image Classification (Q)
|
97% |
19264
3.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1636
26.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
17983
291.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
23420
379.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8555
9.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
150371
175.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
288952
338.7 IPS |
|
|
Object Detection (SP)
|
100% |
2306
182.9 IPS |
|
|
Object Detection (HP)
|
100% |
15945
1.26 KIPS |
|
|
Object Detection (Q)
|
91% |
21274
1.70 KIPS |
|
|
Face Detection (SP)
|
100% |
3579
42.5 IPS |
|
|
Face Detection (HP)
|
100% |
39348
467.5 IPS |
|
|
Face Detection (Q)
|
100% |
53286
633.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8248
63.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
94064
724.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
156849
1.23 KIPS |
|
|
Style Transfer (SP)
|
100% |
22494
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
245278
315.3 IPS |
|
|
Style Transfer (Q)
|
96% |
295217
381.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5480
202.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51570
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79869
2.95 KIPS |
|
|
Text Classification (SP)
|
100% |
3692
4.93 KIPS |
|
|
Text Classification (HP)
|
99% |
6207
8.29 KIPS |
|
|
Text Classification (Q)
|
93% |
6227
8.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
4085
70.4 IPS |
|
|
Machine Translation (HP)
|
100% |
9073
156.3 IPS |
|
|
Machine Translation (Q)
|
98% |
10185
176.0 IPS |
