MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4802
Single Precision Score
29884
Half Precision Score
32969
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | qcpi069 |
| Upload Date | April 07 2025 11:35 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1496
278.2 IPS |
|
|
Image Classification (HP)
|
100% |
16223
3.02 KIPS |
|
|
Image Classification (Q)
|
97% |
17539
3.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1841
29.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
21999
356.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
26774
434.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
16800
19.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
120399
140.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
119039
139.5 IPS |
|
|
Object Detection (SP)
|
100% |
1996
158.3 IPS |
|
|
Object Detection (HP)
|
100% |
17144
1.36 KIPS |
|
|
Object Detection (Q)
|
91% |
16864
1.35 KIPS |
|
|
Face Detection (SP)
|
100% |
4072
48.4 IPS |
|
|
Face Detection (HP)
|
100% |
38185
453.7 IPS |
|
|
Face Detection (Q)
|
100% |
48091
571.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7284
56.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
100709
775.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
115472
902.8 IPS |
|
|
Style Transfer (SP)
|
100% |
30904
39.7 IPS |
|
|
Style Transfer (HP)
|
100% |
216585
278.4 IPS |
|
|
Style Transfer (Q)
|
96% |
210270
271.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5765
212.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38129
1.41 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
52465
1.94 KIPS |
|
|
Text Classification (SP)
|
100% |
2772
3.70 KIPS |
|
|
Text Classification (HP)
|
100% |
4827
6.44 KIPS |
|
|
Text Classification (Q)
|
93% |
4856
6.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
4828
83.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5031
86.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5411
93.5 IPS |
