MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
3886
Single Precision Score
5424
Half Precision Score
4777
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | September 21 2025 02:16 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 14.4 (Build 23E214) |
| 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% |
1698
315.8 IPS |
|
|
Image Classification (HP)
|
100% |
2044
380.2 IPS |
|
|
Image Classification (Q)
|
96% |
1566
292.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1471
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1435
23.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2179
35.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8689
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17166
20.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
14804
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
1873
148.5 IPS |
|
|
Object Detection (HP)
|
97% |
2582
205.5 IPS |
|
|
Object Detection (Q)
|
94% |
1981
157.9 IPS |
|
|
Face Detection (SP)
|
100% |
3526
41.9 IPS |
|
|
Face Detection (HP)
|
100% |
5185
61.6 IPS |
|
|
Face Detection (Q)
|
100% |
3403
40.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6794
52.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
9810
75.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
7506
58.6 IPS |
|
|
Style Transfer (SP)
|
100% |
19604
25.2 IPS |
|
|
Style Transfer (HP)
|
100% |
29614
38.1 IPS |
|
|
Style Transfer (Q)
|
96% |
25557
33.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4895
180.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5130
189.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4309
159.1 IPS |
|
|
Text Classification (SP)
|
100% |
2708
3.61 KIPS |
|
|
Text Classification (HP)
|
100% |
4621
6.17 KIPS |
|
|
Text Classification (Q)
|
93% |
4566
6.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
3108
53.5 IPS |
|
|
Machine Translation (HP)
|
98% |
4752
82.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4822
83.3 IPS |
