iPhone 16 Pro Max
Geekbench AI Score
6469
Single Precision Score
7920
Half Precision Score
8001
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 05 2026 09:49 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
3105
577.4 IPS |
|
|
Image Classification (HP)
|
100% |
2737
508.9 IPS |
|
|
Image Classification (Q)
|
96% |
3253
607.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
4166
67.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4864
78.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4699
76.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
14696
17.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17676
20.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
17221
20.2 IPS |
|
|
Object Detection (SP)
|
100% |
3165
251.1 IPS |
|
|
Object Detection (HP)
|
100% |
3508
278.3 IPS |
|
|
Object Detection (Q)
|
91% |
3694
295.2 IPS |
|
|
Face Detection (SP)
|
100% |
7624
90.6 IPS |
|
|
Face Detection (HP)
|
100% |
11113
132.0 IPS |
|
|
Face Detection (Q)
|
100% |
10365
123.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
13190
101.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
15873
122.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
14234
111.4 IPS |
|
|
Style Transfer (SP)
|
100% |
31420
40.4 IPS |
|
|
Style Transfer (HP)
|
100% |
39372
50.6 IPS |
|
|
Style Transfer (Q)
|
96% |
39121
50.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7311
270.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8280
305.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7077
261.3 IPS |
|
|
Text Classification (SP)
|
100% |
7115
9.50 KIPS |
|
|
Text Classification (HP)
|
99% |
10742
14.3 KIPS |
|
|
Text Classification (Q)
|
93% |
10807
14.5 KIPS |
|
|
Machine Translation (SP)
|
100% |
1299
22.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1905
32.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2507
43.3 IPS |
