MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
2085
Single Precision Score
3571
Half Precision Score
3211
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | atlasnull |
| Upload Date | July 15 2025 04:37 PM |
| Views | 8 |
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% |
1490
277.1 IPS |
|
|
Image Classification (HP)
|
100% |
1399
260.2 IPS |
|
|
Image Classification (Q)
|
96% |
1036
193.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1058
17.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1478
24.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1957
31.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1719
2.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
3178
3.71 IPS |
|
|
Pose Estimation (Q)
|
95% |
5682
6.66 IPS |
|
|
Object Detection (SP)
|
100% |
986
78.2 IPS |
|
|
Object Detection (HP)
|
97% |
2052
163.4 IPS |
|
|
Object Detection (Q)
|
94% |
1411
112.5 IPS |
|
|
Face Detection (SP)
|
100% |
2004
23.8 IPS |
|
|
Face Detection (HP)
|
100% |
3640
43.3 IPS |
|
|
Face Detection (Q)
|
100% |
1931
22.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3844
29.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
3351
25.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
5110
40.0 IPS |
|
|
Style Transfer (SP)
|
100% |
15524
20.0 IPS |
|
|
Style Transfer (HP)
|
100% |
24330
31.3 IPS |
|
|
Style Transfer (Q)
|
96% |
19514
25.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3252
120.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6841
252.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2595
95.8 IPS |
|
|
Text Classification (SP)
|
100% |
1805
2.41 KIPS |
|
|
Text Classification (HP)
|
100% |
3042
4.06 KIPS |
|
|
Text Classification (Q)
|
93% |
3674
4.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
831
14.3 IPS |
|
|
Machine Translation (HP)
|
98% |
4059
70.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3914
67.6 IPS |
