MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4805
Single Precision Score
29805
Half Precision Score
32434
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | dcjm |
| Upload Date | December 11 2024 10:27 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 4.04 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1495
278.1 IPS |
|
|
Image Classification (HP)
|
100% |
16023
2.98 KIPS |
|
|
Image Classification (Q)
|
97% |
17577
3.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1857
30.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
21863
354.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
26571
430.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
16799
19.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
120405
140.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
119101
139.6 IPS |
|
|
Object Detection (SP)
|
100% |
1998
158.5 IPS |
|
|
Object Detection (HP)
|
100% |
16735
1.33 KIPS |
|
|
Object Detection (Q)
|
91% |
16668
1.33 KIPS |
|
|
Face Detection (SP)
|
100% |
4028
47.9 IPS |
|
|
Face Detection (HP)
|
100% |
37578
446.5 IPS |
|
|
Face Detection (Q)
|
100% |
49019
582.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7288
56.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
101059
778.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
116606
911.7 IPS |
|
|
Style Transfer (SP)
|
100% |
30600
39.3 IPS |
|
|
Style Transfer (HP)
|
100% |
222227
285.7 IPS |
|
|
Style Transfer (Q)
|
96% |
210257
271.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5818
214.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39047
1.44 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50426
1.86 KIPS |
|
|
Text Classification (SP)
|
100% |
2790
3.72 KIPS |
|
|
Text Classification (HP)
|
100% |
4980
6.65 KIPS |
|
|
Text Classification (Q)
|
93% |
4857
6.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
4836
83.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4777
82.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4721
81.6 IPS |
