MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
19477
Single Precision Score
22361
Half Precision Score
20880
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | ericzhao |
| Upload Date | July 07 2025 08:54 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 4.04 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8496
1.58 KIPS |
|
|
Image Classification (HP)
|
100% |
8981
1.67 KIPS |
|
|
Image Classification (Q)
|
96% |
8167
1.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20133
326.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
20969
339.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
19813
321.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
92888
108.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
94928
110.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
92009
107.8 IPS |
|
|
Object Detection (SP)
|
100% |
7536
597.8 IPS |
|
|
Object Detection (HP)
|
100% |
8380
664.7 IPS |
|
|
Object Detection (Q)
|
92% |
7523
600.5 IPS |
|
|
Face Detection (SP)
|
100% |
28169
334.7 IPS |
|
|
Face Detection (HP)
|
100% |
36340
431.8 IPS |
|
|
Face Detection (Q)
|
100% |
30385
361.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
38464
296.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
39870
307.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
37045
289.4 IPS |
|
|
Style Transfer (SP)
|
100% |
188841
242.8 IPS |
|
|
Style Transfer (HP)
|
100% |
204609
263.0 IPS |
|
|
Style Transfer (Q)
|
96% |
196998
254.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25670
947.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26364
973.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23535
869.1 IPS |
|
|
Text Classification (SP)
|
100% |
2994
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
5295
7.07 KIPS |
|
|
Text Classification (Q)
|
93% |
5365
7.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
4174
71.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5042
86.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5023
86.8 IPS |
