iPhone 15 Pro Max
Geekbench AI Score
3735
Single Precision Score
6868
Half Precision Score
5584
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 14 2025 08:37 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
1549
288.0 IPS |
|
|
Image Classification (HP)
|
100% |
2971
552.5 IPS |
|
|
Image Classification (Q)
|
96% |
2039
380.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1522
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2321
37.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3011
48.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7274
8.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
15954
18.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
13991
16.4 IPS |
|
|
Object Detection (SP)
|
100% |
1650
130.9 IPS |
|
|
Object Detection (HP)
|
97% |
3234
257.5 IPS |
|
|
Object Detection (Q)
|
94% |
2341
186.6 IPS |
|
|
Face Detection (SP)
|
100% |
3039
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
6633
78.8 IPS |
|
|
Face Detection (Q)
|
100% |
3745
44.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6651
51.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
12604
97.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
8824
69.0 IPS |
|
|
Style Transfer (SP)
|
100% |
20177
25.9 IPS |
|
|
Style Transfer (HP)
|
100% |
32704
42.0 IPS |
|
|
Style Transfer (Q)
|
96% |
26780
34.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4497
166.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5627
207.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4309
159.1 IPS |
|
|
Text Classification (SP)
|
100% |
3240
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
5880
7.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5309
7.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
3144
54.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7260
125.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7245
125.2 IPS |
