iPhone 15 Pro Max
Geekbench AI Score
3862
Single Precision Score
6959
Half Precision Score
5721
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | Fusedstamen |
| Upload Date | February 01 2026 04:26 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| 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% |
1536
285.6 IPS |
|
|
Image Classification (HP)
|
100% |
2967
551.8 IPS |
|
|
Image Classification (Q)
|
96% |
2047
382.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1524
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2336
37.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3017
48.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8185
9.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
17714
20.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
15188
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
1685
133.7 IPS |
|
|
Object Detection (HP)
|
97% |
3291
262.0 IPS |
|
|
Object Detection (Q)
|
94% |
2369
188.8 IPS |
|
|
Face Detection (SP)
|
100% |
3076
36.6 IPS |
|
|
Face Detection (HP)
|
100% |
6845
81.3 IPS |
|
|
Face Detection (Q)
|
100% |
3874
46.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6985
53.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
12698
98.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
9025
70.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22233
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
34106
43.8 IPS |
|
|
Style Transfer (Q)
|
96% |
28386
36.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4863
179.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5685
209.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4399
162.4 IPS |
|
|
Text Classification (SP)
|
100% |
3183
4.25 KIPS |
|
|
Text Classification (HP)
|
99% |
5538
7.39 KIPS |
|
|
Text Classification (Q)
|
93% |
5425
7.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
3096
53.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7065
122.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7142
123.4 IPS |
