iPhone 16 Pro Max
Geekbench AI Score
4380
Single Precision Score
32995
Half Precision Score
45010
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 09 2025 09:39 AM |
| Views | 7 |
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% |
1995
371.0 IPS |
|
|
Image Classification (HP)
|
100% |
14502
2.70 KIPS |
|
|
Image Classification (Q)
|
97% |
18837
3.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1482
24.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
17209
279.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
23626
383.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7132
8.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
140121
163.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
288559
338.2 IPS |
|
|
Object Detection (SP)
|
100% |
2310
183.2 IPS |
|
|
Object Detection (HP)
|
100% |
15733
1.25 KIPS |
|
|
Object Detection (Q)
|
91% |
21188
1.69 KIPS |
|
|
Face Detection (SP)
|
100% |
3623
43.0 IPS |
|
|
Face Detection (HP)
|
100% |
39922
474.4 IPS |
|
|
Face Detection (Q)
|
100% |
54676
649.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8214
63.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
93978
724.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
156382
1.22 KIPS |
|
|
Style Transfer (SP)
|
100% |
22056
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
245002
315.0 IPS |
|
|
Style Transfer (Q)
|
96% |
294782
380.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5450
201.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51520
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79614
2.94 KIPS |
|
|
Text Classification (SP)
|
100% |
3688
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6341
8.46 KIPS |
|
|
Text Classification (Q)
|
93% |
6088
8.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
4050
69.8 IPS |
|
|
Machine Translation (HP)
|
100% |
9259
159.5 IPS |
|
|
Machine Translation (Q)
|
98% |
10267
177.4 IPS |
