MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4660
Single Precision Score
7481
Half Precision Score
5961
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | maxxx |
| Upload Date | January 20 2026 12:50 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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% |
1474
274.1 IPS |
|
|
Image Classification (HP)
|
100% |
2481
461.5 IPS |
|
|
Image Classification (Q)
|
96% |
1838
343.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1776
28.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2671
43.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3305
53.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
15828
18.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
29625
34.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
23391
27.4 IPS |
|
|
Object Detection (SP)
|
100% |
1876
148.8 IPS |
|
|
Object Detection (HP)
|
97% |
2857
227.5 IPS |
|
|
Object Detection (Q)
|
94% |
2180
173.7 IPS |
|
|
Face Detection (SP)
|
100% |
3986
47.4 IPS |
|
|
Face Detection (HP)
|
100% |
6841
81.3 IPS |
|
|
Face Detection (Q)
|
100% |
4030
47.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7183
55.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
13248
102.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
8631
67.5 IPS |
|
|
Style Transfer (SP)
|
100% |
30995
39.8 IPS |
|
|
Style Transfer (HP)
|
100% |
45797
58.9 IPS |
|
|
Style Transfer (Q)
|
96% |
36453
47.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5315
196.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7183
265.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4290
158.4 IPS |
|
|
Text Classification (SP)
|
100% |
2891
3.86 KIPS |
|
|
Text Classification (HP)
|
99% |
4911
6.56 KIPS |
|
|
Text Classification (Q)
|
93% |
5006
6.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
4561
78.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6691
115.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6724
116.2 IPS |
