iPhone 15 Pro Max
Geekbench AI Score
3560
Single Precision Score
25289
Half Precision Score
35732
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Wisely_2023 |
| Upload Date | January 09 2025 04:21 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| 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 | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1602
298.0 IPS |
|
|
Image Classification (HP)
|
100% |
12052
2.24 KIPS |
|
|
Image Classification (Q)
|
97% |
16413
3.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1547
25.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
15664
253.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
20709
335.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7021
8.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
103018
120.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
200855
235.4 IPS |
|
|
Object Detection (SP)
|
100% |
1626
129.0 IPS |
|
|
Object Detection (HP)
|
100% |
13658
1.08 KIPS |
|
|
Object Detection (Q)
|
91% |
18964
1.52 KIPS |
|
|
Face Detection (SP)
|
100% |
2795
33.2 IPS |
|
|
Face Detection (HP)
|
100% |
34504
410.0 IPS |
|
|
Face Detection (Q)
|
100% |
50834
604.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5420
41.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
73950
569.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
122148
955.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17494
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
196310
252.4 IPS |
|
|
Style Transfer (Q)
|
96% |
252427
325.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4224
156.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35858
1.32 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
61114
2.26 KIPS |
|
|
Text Classification (SP)
|
100% |
3254
4.34 KIPS |
|
|
Text Classification (HP)
|
100% |
3282
4.38 KIPS |
|
|
Text Classification (Q)
|
93% |
3348
4.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3174
54.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6834
117.7 IPS |
|
|
Machine Translation (Q)
|
98% |
8173
141.2 IPS |
