iPhone 15 Pro Max
Geekbench AI Score
3487
Single Precision Score
6347
Half Precision Score
5262
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 14 2025 02:02 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1178
219.0 IPS |
|
|
Image Classification (HP)
|
100% |
2185
406.3 IPS |
|
|
Image Classification (Q)
|
96% |
1517
283.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1258
20.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1981
32.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2609
42.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6437
7.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
12940
15.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
12616
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1585
125.7 IPS |
|
|
Object Detection (HP)
|
97% |
3169
252.3 IPS |
|
|
Object Detection (Q)
|
94% |
2251
179.4 IPS |
|
|
Face Detection (SP)
|
100% |
2932
34.8 IPS |
|
|
Face Detection (HP)
|
100% |
6518
77.4 IPS |
|
|
Face Detection (Q)
|
100% |
3697
43.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6663
51.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
12648
97.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
8766
68.5 IPS |
|
|
Style Transfer (SP)
|
100% |
20038
25.8 IPS |
|
|
Style Transfer (HP)
|
100% |
32712
42.1 IPS |
|
|
Style Transfer (Q)
|
96% |
26587
34.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4441
164.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5605
207.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4361
161.0 IPS |
|
|
Text Classification (SP)
|
100% |
3247
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
5458
7.29 KIPS |
|
|
Text Classification (Q)
|
93% |
5438
7.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3120
53.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7249
125.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7088
122.5 IPS |
