MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
19822
Single Precision Score
22232
Half Precision Score
20860
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | souko |
| Upload Date | December 14 2025 01:59 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.7.3 (Build 24G419) |
| Model | MacBook Pro (16-inch, Nov 2023) |
| Model ID | Mac15,9 |
| Motherboard | Mac15,9 |
| CPU Information | |
|---|---|
| Name | Apple M3 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M3 Max |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8155
1.52 KIPS |
|
|
Image Classification (HP)
|
100% |
8491
1.58 KIPS |
|
|
Image Classification (Q)
|
96% |
7839
1.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19800
321.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
20391
330.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
19737
319.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
91566
106.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
93391
109.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
91199
106.8 IPS |
|
|
Object Detection (SP)
|
100% |
7610
603.6 IPS |
|
|
Object Detection (HP)
|
100% |
8696
689.8 IPS |
|
|
Object Detection (Q)
|
92% |
8121
648.2 IPS |
|
|
Face Detection (SP)
|
100% |
32220
382.8 IPS |
|
|
Face Detection (HP)
|
100% |
38199
453.9 IPS |
|
|
Face Detection (Q)
|
100% |
31652
376.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
38991
300.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
41103
316.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
37760
294.9 IPS |
|
|
Style Transfer (SP)
|
100% |
193293
248.5 IPS |
|
|
Style Transfer (HP)
|
100% |
202704
260.6 IPS |
|
|
Style Transfer (Q)
|
96% |
194552
251.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25166
929.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25450
939.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22734
839.5 IPS |
|
|
Text Classification (SP)
|
100% |
2718
3.63 KIPS |
|
|
Text Classification (HP)
|
100% |
4935
6.59 KIPS |
|
|
Text Classification (Q)
|
93% |
4977
6.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
5011
86.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5249
90.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5177
89.5 IPS |
