iPhone 16 Pro Max
Geekbench AI Score
4631
Single Precision Score
32962
Half Precision Score
46076
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 05 2025 07:16 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1986
369.3 IPS |
|
|
Image Classification (HP)
|
100% |
15171
2.82 KIPS |
|
|
Image Classification (Q)
|
97% |
20356
3.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1958
31.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18133
293.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
24137
391.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9373
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
155082
181.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
294224
344.8 IPS |
|
|
Object Detection (SP)
|
100% |
2208
175.1 IPS |
|
|
Object Detection (HP)
|
100% |
16147
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
22263
1.78 KIPS |
|
|
Face Detection (SP)
|
100% |
3670
43.6 IPS |
|
|
Face Detection (HP)
|
100% |
41163
489.1 IPS |
|
|
Face Detection (Q)
|
100% |
58271
692.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8063
62.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
95391
734.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
162090
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
24952
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
245302
315.3 IPS |
|
|
Style Transfer (Q)
|
96% |
302650
390.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5907
218.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50764
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84394
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3427
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4738
6.32 KIPS |
|
|
Text Classification (Q)
|
93% |
4858
6.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3774
65.0 IPS |
|
|
Machine Translation (HP)
|
100% |
9489
163.5 IPS |
|
|
Machine Translation (Q)
|
98% |
11436
197.6 IPS |
