MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4476
Single Precision Score
7434
Half Precision Score
5980
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | marlody |
| Upload Date | July 07 2025 04:43 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
1512
281.3 IPS |
|
|
Image Classification (HP)
|
100% |
2406
447.5 IPS |
|
|
Image Classification (Q)
|
96% |
1821
340.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1821
29.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2708
43.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3267
53.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
16644
19.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
29080
33.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
21909
25.7 IPS |
|
|
Object Detection (SP)
|
100% |
1931
153.2 IPS |
|
|
Object Detection (HP)
|
97% |
2834
225.6 IPS |
|
|
Object Detection (Q)
|
94% |
2147
171.1 IPS |
|
|
Face Detection (SP)
|
100% |
3998
47.5 IPS |
|
|
Face Detection (HP)
|
100% |
6454
76.7 IPS |
|
|
Face Detection (Q)
|
100% |
3881
46.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7284
56.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
12767
98.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
8801
68.8 IPS |
|
|
Style Transfer (SP)
|
100% |
30326
39.0 IPS |
|
|
Style Transfer (HP)
|
100% |
41487
53.3 IPS |
|
|
Style Transfer (Q)
|
96% |
33698
43.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5653
208.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7563
279.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5065
187.0 IPS |
|
|
Text Classification (SP)
|
100% |
2747
3.67 KIPS |
|
|
Text Classification (HP)
|
100% |
4791
6.39 KIPS |
|
|
Text Classification (Q)
|
93% |
4750
6.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
2664
45.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7755
134.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7557
130.6 IPS |
