iPhone 16 Pro Max
Geekbench AI Score
4366
Single Precision Score
33081
Half Precision Score
46263
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 20 2025 06:31 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| Model | iPhone 16 Pro Max |
| Model ID | iPhone17,2 |
| Motherboard | D94AP |
| CPU Information | |
|---|---|
| Name | Apple A18 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2066
384.2 IPS |
|
|
Image Classification (HP)
|
100% |
15169
2.82 KIPS |
|
|
Image Classification (Q)
|
97% |
19828
3.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1935
31.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
18281
296.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
24178
391.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8470
9.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
145161
169.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
278634
326.6 IPS |
|
|
Object Detection (SP)
|
100% |
2217
175.9 IPS |
|
|
Object Detection (HP)
|
100% |
16457
1.31 KIPS |
|
|
Object Detection (Q)
|
91% |
22404
1.79 KIPS |
|
|
Face Detection (SP)
|
100% |
3572
42.4 IPS |
|
|
Face Detection (HP)
|
100% |
41273
490.4 IPS |
|
|
Face Detection (Q)
|
100% |
59380
705.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7480
57.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
94598
728.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
159632
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
18318
23.5 IPS |
|
|
Style Transfer (HP)
|
100% |
244669
314.5 IPS |
|
|
Style Transfer (Q)
|
96% |
306644
395.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4885
180.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50198
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85576
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3376
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
4819
6.43 KIPS |
|
|
Text Classification (Q)
|
93% |
5224
7.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
4161
71.7 IPS |
|
|
Machine Translation (HP)
|
100% |
10255
176.6 IPS |
|
|
Machine Translation (Q)
|
98% |
11549
199.6 IPS |
