MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
20464
Single Precision Score
22700
Half Precision Score
21385
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | dcjm |
| Upload Date | May 18 2025 10:45 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% |
8707
1.62 KIPS |
|
|
Image Classification (HP)
|
100% |
8715
1.62 KIPS |
|
|
Image Classification (Q)
|
96% |
8163
1.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20166
326.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
21022
340.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
19718
319.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
91894
107.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
93812
109.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
91740
107.5 IPS |
|
|
Object Detection (SP)
|
100% |
7867
624.0 IPS |
|
|
Object Detection (HP)
|
100% |
8702
690.2 IPS |
|
|
Object Detection (Q)
|
92% |
8150
650.6 IPS |
|
|
Face Detection (SP)
|
100% |
33766
401.2 IPS |
|
|
Face Detection (HP)
|
100% |
38519
457.7 IPS |
|
|
Face Detection (Q)
|
100% |
31526
374.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
39315
302.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
41567
320.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
38865
303.6 IPS |
|
|
Style Transfer (SP)
|
100% |
192906
248.0 IPS |
|
|
Style Transfer (HP)
|
100% |
205055
263.6 IPS |
|
|
Style Transfer (Q)
|
96% |
199740
257.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26197
967.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26234
968.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23813
879.3 IPS |
|
|
Text Classification (SP)
|
100% |
2977
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5492
7.33 KIPS |
|
|
Text Classification (Q)
|
93% |
5432
7.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
5081
87.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5136
88.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5252
90.8 IPS |
