MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
18636
Single Precision Score
21247
Half Precision Score
18928
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | May 19 2025 05:41 AM |
| Views | 4 |
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% |
8231
1.53 KIPS |
|
|
Image Classification (HP)
|
100% |
8555
1.59 KIPS |
|
|
Image Classification (Q)
|
96% |
8049
1.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19857
321.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
20659
334.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
19651
318.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
91906
107.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
95377
111.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
92166
108.0 IPS |
|
|
Object Detection (SP)
|
100% |
7557
599.4 IPS |
|
|
Object Detection (HP)
|
100% |
8566
679.5 IPS |
|
|
Object Detection (Q)
|
92% |
7829
625.0 IPS |
|
|
Face Detection (SP)
|
100% |
32045
380.8 IPS |
|
|
Face Detection (HP)
|
100% |
36333
431.7 IPS |
|
|
Face Detection (Q)
|
100% |
31364
372.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
38645
297.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
42219
325.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
38011
297.2 IPS |
|
|
Style Transfer (SP)
|
100% |
188449
242.3 IPS |
|
|
Style Transfer (HP)
|
100% |
206390
265.3 IPS |
|
|
Style Transfer (Q)
|
96% |
197246
254.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25151
928.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27499
1.02 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
23184
856.1 IPS |
|
|
Text Classification (SP)
|
100% |
2768
3.70 KIPS |
|
|
Text Classification (HP)
|
100% |
4977
6.64 KIPS |
|
|
Text Classification (Q)
|
93% |
4948
6.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
2741
47.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2998
51.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1918
33.1 IPS |
