iPhone 16 Pro Max
Geekbench AI Score
4662
Single Precision Score
32826
Half Precision Score
45856
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | IGeek |
| Upload Date | January 24 2025 05:52 AM |
| Views | 31 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| 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% |
2025
376.5 IPS |
|
|
Image Classification (HP)
|
100% |
15067
2.80 KIPS |
|
|
Image Classification (Q)
|
97% |
20318
3.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1973
32.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
18237
295.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
24157
391.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9416
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
154900
180.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
293831
344.4 IPS |
|
|
Object Detection (SP)
|
100% |
2223
176.3 IPS |
|
|
Object Detection (HP)
|
100% |
16438
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22778
1.82 KIPS |
|
|
Face Detection (SP)
|
100% |
3680
43.7 IPS |
|
|
Face Detection (HP)
|
100% |
41136
488.8 IPS |
|
|
Face Detection (Q)
|
100% |
59337
705.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8079
62.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
95937
739.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
163409
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
24810
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
245490
315.6 IPS |
|
|
Style Transfer (Q)
|
96% |
301085
388.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5964
220.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51625
1.91 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85649
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3456
4.61 KIPS |
|
|
Text Classification (HP)
|
100% |
4442
5.93 KIPS |
|
|
Text Classification (Q)
|
93% |
4411
5.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
3818
65.8 IPS |
|
|
Machine Translation (HP)
|
100% |
9348
161.0 IPS |
|
|
Machine Translation (Q)
|
98% |
11349
196.1 IPS |
