MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4806
Single Precision Score
7516
Half Precision Score
6067
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | tim2o |
| Upload Date | January 15 2025 10:30 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 4.05 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1525
283.6 IPS |
|
|
Image Classification (HP)
|
100% |
2407
447.6 IPS |
|
|
Image Classification (Q)
|
96% |
1805
337.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1835
29.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2723
44.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3381
54.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
16774
19.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
28725
33.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
21633
25.4 IPS |
|
|
Object Detection (SP)
|
100% |
1974
156.6 IPS |
|
|
Object Detection (HP)
|
97% |
2934
233.6 IPS |
|
|
Object Detection (Q)
|
94% |
2197
175.1 IPS |
|
|
Face Detection (SP)
|
100% |
4018
47.7 IPS |
|
|
Face Detection (HP)
|
100% |
6488
77.1 IPS |
|
|
Face Detection (Q)
|
100% |
3915
46.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7410
57.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
12708
98.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
8930
69.8 IPS |
|
|
Style Transfer (SP)
|
100% |
30611
39.4 IPS |
|
|
Style Transfer (HP)
|
100% |
44387
57.1 IPS |
|
|
Style Transfer (Q)
|
96% |
33725
43.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5998
221.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8006
295.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5286
195.2 IPS |
|
|
Text Classification (SP)
|
100% |
2709
3.62 KIPS |
|
|
Text Classification (HP)
|
100% |
4902
6.54 KIPS |
|
|
Text Classification (Q)
|
93% |
5154
6.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
4794
82.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7252
125.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7257
125.4 IPS |
