MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
19951
Single Precision Score
22370
Half Precision Score
20986
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | xgrommx |
| Upload Date | October 16 2025 12:39 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.7.1 (Build 24G231) |
| 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 | 4.04 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8379
1.56 KIPS |
|
|
Image Classification (HP)
|
100% |
8796
1.64 KIPS |
|
|
Image Classification (Q)
|
96% |
8259
1.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19818
321.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
20655
334.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
19746
320.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
91876
107.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
94258
110.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
91845
107.6 IPS |
|
|
Object Detection (SP)
|
100% |
7533
597.5 IPS |
|
|
Object Detection (HP)
|
100% |
8529
676.5 IPS |
|
|
Object Detection (Q)
|
92% |
7771
620.3 IPS |
|
|
Face Detection (SP)
|
100% |
32004
380.3 IPS |
|
|
Face Detection (HP)
|
100% |
35618
423.2 IPS |
|
|
Face Detection (Q)
|
100% |
30908
367.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
38589
297.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
41113
316.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
38279
299.0 IPS |
|
|
Style Transfer (SP)
|
100% |
192054
246.9 IPS |
|
|
Style Transfer (HP)
|
100% |
203902
262.1 IPS |
|
|
Style Transfer (Q)
|
96% |
196412
253.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25448
939.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26942
994.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23028
850.3 IPS |
|
|
Text Classification (SP)
|
100% |
2836
3.78 KIPS |
|
|
Text Classification (HP)
|
100% |
5087
6.79 KIPS |
|
|
Text Classification (Q)
|
93% |
5028
6.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
5080
87.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5251
90.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5292
91.5 IPS |
