iPhone 15 Pro Max
Geekbench AI Score
3940
Single Precision Score
24764
Half Precision Score
33282
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | pakitt |
| Upload Date | January 30 2025 08:19 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
1710
318.0 IPS |
|
|
Image Classification (HP)
|
100% |
11348
2.11 KIPS |
|
|
Image Classification (Q)
|
97% |
15268
2.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1603
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
15754
255.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
20860
338.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7888
9.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
105544
123.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
202238
237.0 IPS |
|
|
Object Detection (SP)
|
100% |
1802
142.9 IPS |
|
|
Object Detection (HP)
|
100% |
13581
1.08 KIPS |
|
|
Object Detection (Q)
|
91% |
18946
1.51 KIPS |
|
|
Face Detection (SP)
|
100% |
3158
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
33676
400.1 IPS |
|
|
Face Detection (Q)
|
100% |
50363
598.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7032
54.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
78796
607.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
126650
990.2 IPS |
|
|
Style Transfer (SP)
|
100% |
20885
26.8 IPS |
|
|
Style Transfer (HP)
|
100% |
201755
259.4 IPS |
|
|
Style Transfer (Q)
|
96% |
246252
317.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5000
184.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33612
1.24 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
58411
2.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3204
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
3111
4.15 KIPS |
|
|
Text Classification (Q)
|
93% |
2067
2.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
3120
53.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6048
104.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7208
124.6 IPS |
