iPhone 15 Pro Max
Geekbench AI Score
3725
Single Precision Score
26366
Half Precision Score
36375
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 11 2025 04:50 PM |
| 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% |
1568
291.6 IPS |
|
|
Image Classification (HP)
|
100% |
10476
1.95 KIPS |
|
|
Image Classification (Q)
|
97% |
15213
2.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1547
25.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
16654
270.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
21227
344.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7283
8.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
105760
123.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
204002
239.1 IPS |
|
|
Object Detection (SP)
|
100% |
1646
130.5 IPS |
|
|
Object Detection (HP)
|
100% |
13363
1.06 KIPS |
|
|
Object Detection (Q)
|
91% |
17679
1.41 KIPS |
|
|
Face Detection (SP)
|
100% |
2978
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
33943
403.3 IPS |
|
|
Face Detection (Q)
|
100% |
50750
603.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6623
51.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
78339
603.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
124475
973.2 IPS |
|
|
Style Transfer (SP)
|
100% |
20321
26.1 IPS |
|
|
Style Transfer (HP)
|
100% |
204957
263.5 IPS |
|
|
Style Transfer (Q)
|
96% |
243377
314.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4440
163.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34454
1.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57367
2.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3214
4.29 KIPS |
|
|
Text Classification (HP)
|
99% |
5559
7.42 KIPS |
|
|
Text Classification (Q)
|
93% |
5541
7.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
3100
53.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6310
108.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7126
123.2 IPS |
