MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4701
Single Precision Score
7367
Half Precision Score
5937
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | souko |
| Upload Date | December 14 2025 01:57 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1506
280.1 IPS |
|
|
Image Classification (HP)
|
100% |
2421
450.2 IPS |
|
|
Image Classification (Q)
|
96% |
1816
339.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1499
24.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2673
43.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3300
53.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
16591
19.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
27590
32.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
21757
25.5 IPS |
|
|
Object Detection (SP)
|
100% |
1922
152.5 IPS |
|
|
Object Detection (HP)
|
97% |
2815
224.1 IPS |
|
|
Object Detection (Q)
|
94% |
2125
169.4 IPS |
|
|
Face Detection (SP)
|
100% |
3954
47.0 IPS |
|
|
Face Detection (HP)
|
100% |
6332
75.2 IPS |
|
|
Face Detection (Q)
|
100% |
3826
45.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7149
55.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
12662
97.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
8720
68.2 IPS |
|
|
Style Transfer (SP)
|
100% |
30245
38.9 IPS |
|
|
Style Transfer (HP)
|
100% |
41074
52.8 IPS |
|
|
Style Transfer (Q)
|
96% |
33159
42.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5721
211.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7655
282.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5061
186.9 IPS |
|
|
Text Classification (SP)
|
100% |
3135
4.18 KIPS |
|
|
Text Classification (HP)
|
100% |
5096
6.80 KIPS |
|
|
Text Classification (Q)
|
93% |
4905
6.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
4777
82.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7296
126.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7152
123.6 IPS |
