MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4782
Single Precision Score
7438
Half Precision Score
6003
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | qcpi069 |
| Upload Date | April 07 2025 11:37 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 4.04 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1502
279.4 IPS |
|
|
Image Classification (HP)
|
100% |
2416
449.2 IPS |
|
|
Image Classification (Q)
|
96% |
1791
334.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1843
29.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2668
43.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3370
54.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
16781
19.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
28587
33.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
21803
25.6 IPS |
|
|
Object Detection (SP)
|
100% |
1976
156.8 IPS |
|
|
Object Detection (HP)
|
97% |
2932
233.4 IPS |
|
|
Object Detection (Q)
|
94% |
2192
174.7 IPS |
|
|
Face Detection (SP)
|
100% |
4021
47.8 IPS |
|
|
Face Detection (HP)
|
100% |
6688
79.5 IPS |
|
|
Face Detection (Q)
|
100% |
3989
47.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7401
57.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
13155
101.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
9233
72.2 IPS |
|
|
Style Transfer (SP)
|
100% |
30842
39.6 IPS |
|
|
Style Transfer (HP)
|
100% |
42605
54.8 IPS |
|
|
Style Transfer (Q)
|
96% |
33655
43.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5770
213.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7573
279.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5108
188.6 IPS |
|
|
Text Classification (SP)
|
100% |
2716
3.63 KIPS |
|
|
Text Classification (HP)
|
100% |
4846
6.47 KIPS |
|
|
Text Classification (Q)
|
93% |
4777
6.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
4742
81.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6977
120.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6971
120.5 IPS |
