MacBook Pro (16-inch, 2023)
Geekbench AI Score
4106
Single Precision Score
6893
Half Precision Score
5543
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | BlueBoy3000 |
| Upload Date | January 07 2026 08:17 PM |
| Views | 10 |
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 | 3.66 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1376
255.8 IPS |
|
|
Image Classification (HP)
|
100% |
2325
432.4 IPS |
|
|
Image Classification (Q)
|
96% |
1695
316.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1706
27.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2548
41.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2970
48.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
12146
14.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
26432
30.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
20814
24.4 IPS |
|
|
Object Detection (SP)
|
100% |
1640
130.1 IPS |
|
|
Object Detection (HP)
|
97% |
2769
220.4 IPS |
|
|
Object Detection (Q)
|
94% |
2047
163.2 IPS |
|
|
Face Detection (SP)
|
100% |
3702
44.0 IPS |
|
|
Face Detection (HP)
|
100% |
6129
72.8 IPS |
|
|
Face Detection (Q)
|
100% |
3478
41.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6148
47.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
11742
90.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
8170
63.9 IPS |
|
|
Style Transfer (SP)
|
100% |
25707
33.0 IPS |
|
|
Style Transfer (HP)
|
100% |
40537
52.1 IPS |
|
|
Style Transfer (Q)
|
96% |
32499
41.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4797
177.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6297
232.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4480
165.4 IPS |
|
|
Text Classification (SP)
|
100% |
2446
3.26 KIPS |
|
|
Text Classification (HP)
|
99% |
4080
5.45 KIPS |
|
|
Text Classification (Q)
|
93% |
4021
5.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
4251
73.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7452
128.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7687
132.8 IPS |
