iPhone 15 Pro Max
Geekbench AI Score
3933
Single Precision Score
27940
Half Precision Score
39293
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Namdong |
| Upload Date | March 31 2026 04:27 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.5 |
| 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% |
1626
302.4 IPS |
|
|
Image Classification (HP)
|
100% |
10800
2.01 KIPS |
|
|
Image Classification (Q)
|
97% |
15136
2.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1557
25.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
16824
272.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
21923
355.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7009
8.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
105943
123.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
206121
241.6 IPS |
|
|
Object Detection (SP)
|
100% |
1665
132.1 IPS |
|
|
Object Detection (HP)
|
100% |
13957
1.11 KIPS |
|
|
Object Detection (Q)
|
89% |
18994
1.52 KIPS |
|
|
Face Detection (SP)
|
100% |
3031
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
35567
422.6 IPS |
|
|
Face Detection (Q)
|
100% |
57133
678.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6696
51.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
78287
603.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
127413
995.7 IPS |
|
|
Style Transfer (SP)
|
100% |
19358
24.9 IPS |
|
|
Style Transfer (HP)
|
100% |
208816
268.4 IPS |
|
|
Style Transfer (Q)
|
96% |
251123
324.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4338
160.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34171
1.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
60449
2.23 KIPS |
|
|
Text Classification (SP)
|
100% |
5702
7.61 KIPS |
|
|
Text Classification (HP)
|
100% |
8620
11.5 KIPS |
|
|
Text Classification (Q)
|
93% |
8594
11.5 KIPS |
|
|
Machine Translation (SP)
|
100% |
3085
53.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6301
108.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7112
122.9 IPS |
