iPhone 15 Pro Max
Geekbench AI Score
3825
Single Precision Score
22550
Half Precision Score
31979
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | aliensporebomb |
| Upload Date | November 09 2025 12:26 PM |
| Views | 5 |
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% |
1578
293.5 IPS |
|
|
Image Classification (HP)
|
100% |
8382
1.56 KIPS |
|
|
Image Classification (Q)
|
97% |
13165
2.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1533
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
16398
265.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
21213
343.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7513
8.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
101577
118.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
188840
221.3 IPS |
|
|
Object Detection (SP)
|
100% |
1678
133.1 IPS |
|
|
Object Detection (HP)
|
100% |
9315
738.9 IPS |
|
|
Object Detection (Q)
|
91% |
16300
1.30 KIPS |
|
|
Face Detection (SP)
|
100% |
3062
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
34254
407.0 IPS |
|
|
Face Detection (Q)
|
100% |
46400
551.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6864
52.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
56708
436.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
82103
641.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21758
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
191439
246.1 IPS |
|
|
Style Transfer (Q)
|
96% |
224224
289.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4745
175.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22968
848.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
42413
1.57 KIPS |
|
|
Text Classification (SP)
|
100% |
3214
4.29 KIPS |
|
|
Text Classification (HP)
|
99% |
5596
7.47 KIPS |
|
|
Text Classification (Q)
|
93% |
5512
7.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3156
54.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5470
94.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6516
112.6 IPS |
