MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4512
Single Precision Score
7542
Half Precision Score
6008
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | ChrisMunson |
| Upload Date | January 06 2026 08:05 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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 | 3.63 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1426
265.3 IPS |
|
|
Image Classification (HP)
|
100% |
2422
450.5 IPS |
|
|
Image Classification (Q)
|
96% |
1759
328.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1763
28.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2682
43.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3223
52.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
15365
17.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
29421
34.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
22536
26.4 IPS |
|
|
Object Detection (SP)
|
100% |
1803
143.0 IPS |
|
|
Object Detection (HP)
|
97% |
2827
225.1 IPS |
|
|
Object Detection (Q)
|
94% |
2120
169.0 IPS |
|
|
Face Detection (SP)
|
100% |
3785
45.0 IPS |
|
|
Face Detection (HP)
|
100% |
6510
77.4 IPS |
|
|
Face Detection (Q)
|
100% |
3836
45.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6967
53.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
12680
98.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
8963
70.1 IPS |
|
|
Style Transfer (SP)
|
100% |
29620
38.1 IPS |
|
|
Style Transfer (HP)
|
100% |
45936
59.1 IPS |
|
|
Style Transfer (Q)
|
96% |
35350
45.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5531
204.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7607
280.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4875
180.0 IPS |
|
|
Text Classification (SP)
|
100% |
2938
3.92 KIPS |
|
|
Text Classification (HP)
|
99% |
5127
6.84 KIPS |
|
|
Text Classification (Q)
|
93% |
5095
6.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
3957
68.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7455
128.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7495
129.5 IPS |
