iPhone 15 Pro Max
Geekbench AI Score
3832
Single Precision Score
26764
Half Precision Score
36140
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | Vicedriver |
| Upload Date | January 04 2026 05:23 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPhone 15 Pro Max |
| Model ID | iPhone16,2 |
| Motherboard | D84AP |
| CPU Information | |
|---|---|
| Name | Apple A17 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.78 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1566
291.2 IPS |
|
|
Image Classification (HP)
|
100% |
10690
1.99 KIPS |
|
|
Image Classification (Q)
|
97% |
15576
2.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1539
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
16642
269.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
21432
347.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7802
9.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
106608
124.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
206798
242.4 IPS |
|
|
Object Detection (SP)
|
100% |
1678
133.1 IPS |
|
|
Object Detection (HP)
|
100% |
13908
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
17896
1.43 KIPS |
|
|
Face Detection (SP)
|
100% |
3086
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
37007
439.7 IPS |
|
|
Face Detection (Q)
|
100% |
46412
551.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6920
53.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
78552
605.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
122735
959.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21539
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
205208
263.8 IPS |
|
|
Style Transfer (Q)
|
96% |
250954
323.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4754
175.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34537
1.28 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55743
2.06 KIPS |
|
|
Text Classification (SP)
|
100% |
3172
4.23 KIPS |
|
|
Text Classification (HP)
|
99% |
5361
7.16 KIPS |
|
|
Text Classification (Q)
|
93% |
5345
7.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
3122
53.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6474
111.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7225
124.9 IPS |
