MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
15589
Single Precision Score
19893
Half Precision Score
18608
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | marlody |
| Upload Date | July 07 2025 04:45 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
7438
1.38 KIPS |
|
|
Image Classification (HP)
|
100% |
7770
1.45 KIPS |
|
|
Image Classification (Q)
|
96% |
7287
1.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16306
264.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
16917
274.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
16421
266.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
65678
76.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
71108
83.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
68345
80.1 IPS |
|
|
Object Detection (SP)
|
100% |
6887
546.3 IPS |
|
|
Object Detection (HP)
|
100% |
7811
619.6 IPS |
|
|
Object Detection (Q)
|
92% |
6705
535.2 IPS |
|
|
Face Detection (SP)
|
100% |
27031
321.2 IPS |
|
|
Face Detection (HP)
|
100% |
30859
366.7 IPS |
|
|
Face Detection (Q)
|
100% |
26074
309.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
32878
253.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
34262
264.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
32359
252.8 IPS |
|
|
Style Transfer (SP)
|
100% |
144354
185.6 IPS |
|
|
Style Transfer (HP)
|
100% |
157600
202.6 IPS |
|
|
Style Transfer (Q)
|
96% |
153021
197.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
21787
804.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21672
800.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19357
714.8 IPS |
|
|
Text Classification (SP)
|
100% |
2749
3.67 KIPS |
|
|
Text Classification (HP)
|
100% |
4982
6.65 KIPS |
|
|
Text Classification (Q)
|
93% |
4973
6.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
2011
34.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7390
127.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7304
126.2 IPS |
