MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
19589
Single Precision Score
22510
Half Precision Score
20832
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | May 14 2025 01:20 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8000
1.49 KIPS |
|
|
Image Classification (HP)
|
100% |
8740
1.63 KIPS |
|
|
Image Classification (Q)
|
96% |
8103
1.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19692
319.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
21301
345.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
19858
321.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
91461
106.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
95299
111.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
92440
108.3 IPS |
|
|
Object Detection (SP)
|
100% |
7428
589.2 IPS |
|
|
Object Detection (HP)
|
100% |
8779
696.3 IPS |
|
|
Object Detection (Q)
|
92% |
8007
639.2 IPS |
|
|
Face Detection (SP)
|
100% |
32460
385.7 IPS |
|
|
Face Detection (HP)
|
100% |
36781
437.0 IPS |
|
|
Face Detection (Q)
|
100% |
30512
362.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
38420
296.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
41665
321.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
37602
294.0 IPS |
|
|
Style Transfer (SP)
|
100% |
187038
240.4 IPS |
|
|
Style Transfer (HP)
|
100% |
206598
265.6 IPS |
|
|
Style Transfer (Q)
|
96% |
196752
253.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24423
901.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25777
951.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22801
841.9 IPS |
|
|
Text Classification (SP)
|
100% |
2691
3.59 KIPS |
|
|
Text Classification (HP)
|
100% |
5027
6.71 KIPS |
|
|
Text Classification (Q)
|
93% |
4766
6.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
5071
87.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5228
90.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5270
91.1 IPS |
