MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4389
Single Precision Score
7259
Half Precision Score
5863
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | aiaerospacex |
| Upload Date | November 04 2025 09:37 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.6 (Build 24G84) |
| 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 | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1521
282.9 IPS |
|
|
Image Classification (HP)
|
100% |
2409
448.0 IPS |
|
|
Image Classification (Q)
|
96% |
1814
338.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1842
29.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2804
45.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3301
53.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
16639
19.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
27823
32.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
21672
25.4 IPS |
|
|
Object Detection (SP)
|
100% |
1914
151.8 IPS |
|
|
Object Detection (HP)
|
97% |
2827
225.0 IPS |
|
|
Object Detection (Q)
|
94% |
2134
170.1 IPS |
|
|
Face Detection (SP)
|
100% |
3968
47.2 IPS |
|
|
Face Detection (HP)
|
100% |
6378
75.8 IPS |
|
|
Face Detection (Q)
|
100% |
3818
45.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7218
55.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
12132
93.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
8564
67.0 IPS |
|
|
Style Transfer (SP)
|
100% |
29826
38.3 IPS |
|
|
Style Transfer (HP)
|
100% |
40146
51.6 IPS |
|
|
Style Transfer (Q)
|
96% |
33416
43.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5805
214.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7579
279.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5058
186.8 IPS |
|
|
Text Classification (SP)
|
100% |
2744
3.66 KIPS |
|
|
Text Classification (HP)
|
100% |
4902
6.54 KIPS |
|
|
Text Classification (Q)
|
93% |
4781
6.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
2189
37.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6627
114.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6560
113.4 IPS |
