MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4413
Single Precision Score
7448
Half Precision Score
6082
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | gabrielu |
| Upload Date | September 09 2025 07:29 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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% |
1514
281.6 IPS |
|
|
Image Classification (HP)
|
100% |
2409
447.9 IPS |
|
|
Image Classification (Q)
|
96% |
1819
339.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1814
29.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2711
43.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3269
53.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
16822
19.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
27783
32.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
21729
25.5 IPS |
|
|
Object Detection (SP)
|
100% |
1932
153.2 IPS |
|
|
Object Detection (HP)
|
97% |
2816
224.2 IPS |
|
|
Object Detection (Q)
|
94% |
2127
169.5 IPS |
|
|
Face Detection (SP)
|
100% |
3913
46.5 IPS |
|
|
Face Detection (HP)
|
100% |
6325
75.2 IPS |
|
|
Face Detection (Q)
|
100% |
3878
46.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7022
54.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
12341
95.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
8664
67.7 IPS |
|
|
Style Transfer (SP)
|
100% |
30431
39.1 IPS |
|
|
Style Transfer (HP)
|
100% |
41064
52.8 IPS |
|
|
Style Transfer (Q)
|
96% |
33398
43.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5935
219.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7873
290.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5132
189.5 IPS |
|
|
Text Classification (SP)
|
100% |
3011
4.02 KIPS |
|
|
Text Classification (HP)
|
100% |
5284
7.05 KIPS |
|
|
Text Classification (Q)
|
93% |
5747
7.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
2104
36.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7716
133.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7624
131.8 IPS |
