MacBook Pro (16-inch, 2023)
Geekbench AI Score
4121
Single Precision Score
6939
Half Precision Score
5582
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | fearlipe |
| Upload Date | November 05 2025 03:24 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| Model | MacBook Pro (16-inch, 2023) |
| Model ID | Mac14,6 |
| Motherboard | Mac14,6 |
| CPU Information | |
|---|---|
| Name | Apple M2 Max |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Max |
| Base Frequency | 3.68 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1366
254.0 IPS |
|
|
Image Classification (HP)
|
100% |
2324
432.1 IPS |
|
|
Image Classification (Q)
|
96% |
1728
322.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1702
27.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2530
41.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3007
48.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
12157
14.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
26469
30.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
20742
24.3 IPS |
|
|
Object Detection (SP)
|
100% |
1645
130.5 IPS |
|
|
Object Detection (HP)
|
97% |
2763
219.9 IPS |
|
|
Object Detection (Q)
|
94% |
2048
163.3 IPS |
|
|
Face Detection (SP)
|
100% |
3733
44.4 IPS |
|
|
Face Detection (HP)
|
100% |
6208
73.8 IPS |
|
|
Face Detection (Q)
|
100% |
3558
42.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6229
48.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
11723
90.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8191
64.0 IPS |
|
|
Style Transfer (SP)
|
100% |
25950
33.4 IPS |
|
|
Style Transfer (HP)
|
100% |
41014
52.7 IPS |
|
|
Style Transfer (Q)
|
96% |
32445
41.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4842
178.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6344
234.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4494
165.9 IPS |
|
|
Text Classification (SP)
|
100% |
2398
3.20 KIPS |
|
|
Text Classification (HP)
|
99% |
4089
5.46 KIPS |
|
|
Text Classification (Q)
|
93% |
4080
5.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
4347
74.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7781
134.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7682
132.8 IPS |
