iPhone 16 Pro Max
Geekbench AI Score
4681
Single Precision Score
34986
Half Precision Score
48363
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 05 2026 09:51 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.5 |
| 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% |
1987
369.5 IPS |
|
|
Image Classification (HP)
|
100% |
14383
2.67 KIPS |
|
|
Image Classification (Q)
|
97% |
17846
3.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1833
29.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18158
294.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
24062
390.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7353
8.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
152322
177.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
289081
338.8 IPS |
|
|
Object Detection (SP)
|
100% |
2379
188.7 IPS |
|
|
Object Detection (HP)
|
100% |
15373
1.22 KIPS |
|
|
Object Detection (Q)
|
89% |
21998
1.76 KIPS |
|
|
Face Detection (SP)
|
100% |
3870
46.0 IPS |
|
|
Face Detection (HP)
|
100% |
40810
484.9 IPS |
|
|
Face Detection (Q)
|
100% |
61865
735.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7568
58.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
95144
733.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
159191
1.24 KIPS |
|
|
Style Transfer (SP)
|
100% |
20351
26.2 IPS |
|
|
Style Transfer (HP)
|
100% |
245790
316.0 IPS |
|
|
Style Transfer (Q)
|
96% |
293442
378.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4816
177.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49764
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80650
2.98 KIPS |
|
|
Text Classification (SP)
|
100% |
7007
9.35 KIPS |
|
|
Text Classification (HP)
|
100% |
10421
13.9 KIPS |
|
|
Text Classification (Q)
|
92% |
10871
14.6 KIPS |
|
|
Machine Translation (SP)
|
100% |
3947
68.0 IPS |
|
|
Machine Translation (HP)
|
100% |
9079
156.4 IPS |
|
|
Machine Translation (Q)
|
98% |
10119
174.9 IPS |
