iPhone 16 Pro Max
Geekbench AI Score
3649
Single Precision Score
26839
Half Precision Score
36502
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 13 2025 03:28 PM |
| Views | 2 |
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% |
1634
303.8 IPS |
|
|
Image Classification (HP)
|
100% |
13092
2.43 KIPS |
|
|
Image Classification (Q)
|
97% |
16890
3.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1519
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
14889
241.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
20860
338.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8102
9.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
98659
115.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
188688
221.2 IPS |
|
|
Object Detection (SP)
|
100% |
1968
156.1 IPS |
|
|
Object Detection (HP)
|
100% |
13865
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
17387
1.39 KIPS |
|
|
Face Detection (SP)
|
100% |
2310
27.5 IPS |
|
|
Face Detection (HP)
|
100% |
29342
348.6 IPS |
|
|
Face Detection (Q)
|
100% |
38259
454.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6783
52.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
76365
588.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
130389
1.02 KIPS |
|
|
Style Transfer (SP)
|
100% |
19090
24.5 IPS |
|
|
Style Transfer (HP)
|
100% |
176676
227.1 IPS |
|
|
Style Transfer (Q)
|
96% |
218170
281.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4823
178.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40274
1.49 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
66447
2.45 KIPS |
|
|
Text Classification (SP)
|
100% |
3093
4.13 KIPS |
|
|
Text Classification (HP)
|
99% |
5386
7.19 KIPS |
|
|
Text Classification (Q)
|
93% |
5261
7.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
2373
40.9 IPS |
|
|
Machine Translation (HP)
|
100% |
8472
145.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9550
165.0 IPS |
