MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4686
Single Precision Score
7610
Half Precision Score
5972
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 11 2025 08:12 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| Model | MacBook Pro (16-inch, Nov 2023) |
| Model ID | Mac15,11 |
| Motherboard | Mac15,11 |
| CPU Information | |
|---|---|
| Name | Apple M3 Max |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M3 Max |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1470
273.4 IPS |
|
|
Image Classification (HP)
|
100% |
2470
459.3 IPS |
|
|
Image Classification (Q)
|
96% |
1829
341.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1817
29.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2728
44.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3304
53.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
15800
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
29781
34.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
23289
27.3 IPS |
|
|
Object Detection (SP)
|
100% |
1868
148.1 IPS |
|
|
Object Detection (HP)
|
97% |
2870
228.5 IPS |
|
|
Object Detection (Q)
|
94% |
2178
173.6 IPS |
|
|
Face Detection (SP)
|
100% |
4015
47.7 IPS |
|
|
Face Detection (HP)
|
100% |
6839
81.3 IPS |
|
|
Face Detection (Q)
|
100% |
4047
48.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7159
55.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
13169
101.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
8657
67.7 IPS |
|
|
Style Transfer (SP)
|
100% |
31094
40.0 IPS |
|
|
Style Transfer (HP)
|
100% |
46972
60.4 IPS |
|
|
Style Transfer (Q)
|
96% |
36241
46.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5377
198.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7257
268.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4319
159.5 IPS |
|
|
Text Classification (SP)
|
100% |
2881
3.85 KIPS |
|
|
Text Classification (HP)
|
99% |
4936
6.59 KIPS |
|
|
Text Classification (Q)
|
93% |
5092
6.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
4680
80.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7473
129.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6748
116.6 IPS |
