iPhone 15 Pro Max
Geekbench AI Score
3778
Single Precision Score
20581
Half Precision Score
31933
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 08 2025 12:45 AM |
| Views | 1 |
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% |
1480
275.2 IPS |
|
|
Image Classification (HP)
|
100% |
8173
1.52 KIPS |
|
|
Image Classification (Q)
|
97% |
12073
2.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1547
25.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
15736
255.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
19906
322.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7446
8.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
101216
118.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
193964
227.3 IPS |
|
|
Object Detection (SP)
|
100% |
1651
131.0 IPS |
|
|
Object Detection (HP)
|
100% |
8124
644.4 IPS |
|
|
Object Detection (Q)
|
91% |
15736
1.26 KIPS |
|
|
Face Detection (SP)
|
100% |
3033
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
33151
393.9 IPS |
|
|
Face Detection (Q)
|
100% |
44980
534.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6747
52.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
56154
432.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
97490
762.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21624
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
182061
234.0 IPS |
|
|
Style Transfer (Q)
|
96% |
209101
269.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4742
175.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20810
768.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
45788
1.69 KIPS |
|
|
Text Classification (SP)
|
100% |
3214
4.29 KIPS |
|
|
Text Classification (HP)
|
99% |
5505
7.35 KIPS |
|
|
Text Classification (Q)
|
93% |
5378
7.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3127
53.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3321
57.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6659
115.1 IPS |
