MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4574
Single Precision Score
28733
Half Precision Score
31193
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | JoshuaChung |
| Upload Date | March 08 2025 02:47 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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% |
1579
293.7 IPS |
|
|
Image Classification (HP)
|
100% |
16508
3.07 KIPS |
|
|
Image Classification (Q)
|
99% |
16936
3.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1908
30.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
16853
273.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
16898
273.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
16839
19.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
117926
137.6 IPS |
|
|
Pose Estimation (Q)
|
94% |
116122
136.2 IPS |
|
|
Object Detection (SP)
|
100% |
2027
160.8 IPS |
|
|
Object Detection (HP)
|
100% |
17626
1.40 KIPS |
|
|
Object Detection (Q)
|
91% |
19721
1.58 KIPS |
|
|
Face Detection (SP)
|
100% |
4231
50.3 IPS |
|
|
Face Detection (HP)
|
100% |
25065
297.8 IPS |
|
|
Face Detection (Q)
|
100% |
39415
468.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7608
58.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
87392
673.3 IPS |
|
|
Depth Estimation (Q)
|
97% |
92275
713.5 IPS |
|
|
Style Transfer (SP)
|
100% |
31164
40.1 IPS |
|
|
Style Transfer (HP)
|
100% |
167392
215.2 IPS |
|
|
Style Transfer (Q)
|
100% |
167626
215.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6052
223.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44248
1.63 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
53015
1.96 KIPS |
|
|
Text Classification (SP)
|
100% |
3091
4.13 KIPS |
|
|
Text Classification (HP)
|
100% |
5479
7.31 KIPS |
|
|
Text Classification (Q)
|
93% |
5542
7.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
2080
35.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7462
128.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7431
128.4 IPS |
