iPhone 15 Pro Max
Geekbench AI Score
3938
Single Precision Score
23757
Half Precision Score
33584
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | starkAhmed43 |
| Upload Date | November 07 2024 05:18 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1713
318.5 IPS |
|
|
Image Classification (HP)
|
100% |
10743
2.00 KIPS |
|
|
Image Classification (Q)
|
97% |
15999
2.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1625
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
15825
256.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
20849
338.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7997
9.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
105856
123.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
205695
241.1 IPS |
|
|
Object Detection (SP)
|
100% |
1793
142.2 IPS |
|
|
Object Detection (HP)
|
100% |
13875
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
19358
1.55 KIPS |
|
|
Face Detection (SP)
|
100% |
3152
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
33858
402.3 IPS |
|
|
Face Detection (Q)
|
100% |
50277
597.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6942
53.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
78236
602.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
128845
1.01 KIPS |
|
|
Style Transfer (SP)
|
100% |
20884
26.8 IPS |
|
|
Style Transfer (HP)
|
100% |
201476
259.0 IPS |
|
|
Style Transfer (Q)
|
96% |
247065
318.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4902
181.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34332
1.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
59307
2.19 KIPS |
|
|
Text Classification (SP)
|
100% |
3228
4.31 KIPS |
|
|
Text Classification (HP)
|
100% |
1945
2.60 KIPS |
|
|
Text Classification (Q)
|
93% |
1966
2.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
3113
53.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6437
110.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7366
127.3 IPS |
