iPhone 15 Pro Max
Geekbench AI Score
3680
Single Precision Score
26928
Half Precision Score
37440
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 10 2025 11:54 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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% |
1534
285.3 IPS |
|
|
Image Classification (HP)
|
100% |
10842
2.02 KIPS |
|
|
Image Classification (Q)
|
97% |
15341
2.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1534
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
16438
266.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
21083
341.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6969
8.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
101719
118.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
199125
233.4 IPS |
|
|
Object Detection (SP)
|
100% |
1715
136.0 IPS |
|
|
Object Detection (HP)
|
100% |
13764
1.09 KIPS |
|
|
Object Detection (Q)
|
91% |
18274
1.46 KIPS |
|
|
Face Detection (SP)
|
100% |
3008
35.7 IPS |
|
|
Face Detection (HP)
|
100% |
34643
411.6 IPS |
|
|
Face Detection (Q)
|
100% |
50513
600.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6515
50.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
77900
600.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
123285
963.9 IPS |
|
|
Style Transfer (SP)
|
100% |
19689
25.3 IPS |
|
|
Style Transfer (HP)
|
100% |
200471
257.7 IPS |
|
|
Style Transfer (Q)
|
96% |
244024
314.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4521
167.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34148
1.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
61278
2.26 KIPS |
|
|
Text Classification (SP)
|
100% |
3013
4.02 KIPS |
|
|
Text Classification (HP)
|
100% |
5431
7.25 KIPS |
|
|
Text Classification (Q)
|
93% |
5390
7.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3088
53.2 IPS |
|
|
Machine Translation (HP)
|
100% |
8009
138.0 IPS |
|
|
Machine Translation (Q)
|
98% |
9163
158.3 IPS |
