iPhone 16 Pro Max
Geekbench AI Score
4389
Single Precision Score
33066
Half Precision Score
44482
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 18 2025 03:04 AM |
| 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% |
1986
369.4 IPS |
|
|
Image Classification (HP)
|
100% |
14190
2.64 KIPS |
|
|
Image Classification (Q)
|
97% |
18718
3.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1748
28.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
18159
294.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
23554
381.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7979
9.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
142113
165.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
287094
336.5 IPS |
|
|
Object Detection (SP)
|
100% |
2245
178.1 IPS |
|
|
Object Detection (HP)
|
100% |
15888
1.26 KIPS |
|
|
Object Detection (Q)
|
91% |
21366
1.71 KIPS |
|
|
Face Detection (SP)
|
100% |
3480
41.4 IPS |
|
|
Face Detection (HP)
|
100% |
39310
467.1 IPS |
|
|
Face Detection (Q)
|
100% |
51827
615.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7773
59.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
94046
724.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
148301
1.16 KIPS |
|
|
Style Transfer (SP)
|
100% |
20597
26.5 IPS |
|
|
Style Transfer (HP)
|
100% |
244371
314.1 IPS |
|
|
Style Transfer (Q)
|
96% |
294998
380.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5174
191.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51427
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78862
2.91 KIPS |
|
|
Text Classification (SP)
|
100% |
3681
4.91 KIPS |
|
|
Text Classification (HP)
|
99% |
6267
8.36 KIPS |
|
|
Text Classification (Q)
|
93% |
6086
8.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
4028
69.4 IPS |
|
|
Machine Translation (HP)
|
100% |
9226
158.9 IPS |
|
|
Machine Translation (Q)
|
98% |
10306
178.1 IPS |
