iPhone 15 Pro Max
Geekbench AI Score
3663
Single Precision Score
6804
Half Precision Score
5587
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | MAAlthubyani |
| Upload Date | April 18 2026 05:33 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1534
285.3 IPS |
|
|
Image Classification (HP)
|
100% |
2969
552.2 IPS |
|
|
Image Classification (Q)
|
96% |
2028
378.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1506
24.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2365
38.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2984
48.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6866
8.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
15522
18.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
13830
16.2 IPS |
|
|
Object Detection (SP)
|
100% |
1624
128.8 IPS |
|
|
Object Detection (HP)
|
97% |
3265
259.9 IPS |
|
|
Object Detection (Q)
|
94% |
2344
186.8 IPS |
|
|
Face Detection (SP)
|
100% |
2966
35.2 IPS |
|
|
Face Detection (HP)
|
100% |
6660
79.1 IPS |
|
|
Face Detection (Q)
|
100% |
3773
44.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6504
50.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
12619
97.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
8879
69.4 IPS |
|
|
Style Transfer (SP)
|
100% |
19420
25.0 IPS |
|
|
Style Transfer (HP)
|
100% |
31988
41.1 IPS |
|
|
Style Transfer (Q)
|
96% |
26557
34.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4400
162.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5518
203.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4303
158.9 IPS |
|
|
Text Classification (SP)
|
100% |
3282
4.38 KIPS |
|
|
Text Classification (HP)
|
99% |
5527
7.38 KIPS |
|
|
Text Classification (Q)
|
93% |
5519
7.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3129
53.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7294
126.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7154
123.6 IPS |
