iPhone 15 Pro Max
Geekbench AI Score
3720
Single Precision Score
6872
Half Precision Score
5579
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 01 2026 10:56 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1549
288.0 IPS |
|
|
Image Classification (HP)
|
100% |
2933
545.4 IPS |
|
|
Image Classification (Q)
|
96% |
2042
381.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1506
24.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2310
37.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2996
48.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7342
8.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
15967
18.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
13589
15.9 IPS |
|
|
Object Detection (SP)
|
100% |
1624
128.8 IPS |
|
|
Object Detection (HP)
|
97% |
3186
253.6 IPS |
|
|
Object Detection (Q)
|
94% |
2321
185.0 IPS |
|
|
Face Detection (SP)
|
100% |
2984
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
6619
78.6 IPS |
|
|
Face Detection (Q)
|
100% |
3753
44.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6561
50.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
12639
97.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
8790
68.7 IPS |
|
|
Style Transfer (SP)
|
100% |
20176
25.9 IPS |
|
|
Style Transfer (HP)
|
100% |
32693
42.0 IPS |
|
|
Style Transfer (Q)
|
96% |
26776
34.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4488
165.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6124
226.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4356
160.8 IPS |
|
|
Text Classification (SP)
|
100% |
3275
4.37 KIPS |
|
|
Text Classification (HP)
|
99% |
5581
7.45 KIPS |
|
|
Text Classification (Q)
|
93% |
5416
7.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3145
54.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7292
126.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7267
125.6 IPS |
