iPhone 16 Pro Max
Geekbench AI Score
4510
Single Precision Score
33761
Half Precision Score
45343
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 21 2025 02:38 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% |
2000
372.0 IPS |
|
|
Image Classification (HP)
|
100% |
14712
2.74 KIPS |
|
|
Image Classification (Q)
|
97% |
18379
3.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1812
29.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
18127
293.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
23699
384.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8687
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
151403
176.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
288520
338.2 IPS |
|
|
Object Detection (SP)
|
100% |
2290
181.7 IPS |
|
|
Object Detection (HP)
|
100% |
15997
1.27 KIPS |
|
|
Object Detection (Q)
|
91% |
21779
1.74 KIPS |
|
|
Face Detection (SP)
|
100% |
3598
42.7 IPS |
|
|
Face Detection (HP)
|
100% |
40105
476.5 IPS |
|
|
Face Detection (Q)
|
100% |
54799
651.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8086
62.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
96394
742.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
154772
1.21 KIPS |
|
|
Style Transfer (SP)
|
100% |
21194
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
245849
316.0 IPS |
|
|
Style Transfer (Q)
|
96% |
298837
385.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5190
191.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52932
1.95 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80303
2.97 KIPS |
|
|
Text Classification (SP)
|
100% |
3801
5.07 KIPS |
|
|
Text Classification (HP)
|
99% |
6336
8.46 KIPS |
|
|
Text Classification (Q)
|
93% |
6303
8.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3976
68.5 IPS |
|
|
Machine Translation (HP)
|
100% |
9344
161.0 IPS |
|
|
Machine Translation (Q)
|
98% |
10464
180.8 IPS |
