MacBook Pro (M2) MacBook Pro (16-inch, 2023)
Geekbench AI Score
4233
Single Precision Score
6862
Half Precision Score
5345
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Wolfgang1756 |
| Upload Date | December 15 2024 07:25 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | MacBook Pro (16-inch, 2023) |
| Model ID | Mac14,6 |
| Motherboard | Mac14,6 |
| CPU Information | |
|---|---|
| Name | Apple M2 Max |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Max |
| Base Frequency | 3.48 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1408
261.8 IPS |
|
|
Image Classification (HP)
|
100% |
2286
425.1 IPS |
|
|
Image Classification (Q)
|
96% |
1665
311.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1760
28.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2647
42.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2982
48.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
13074
15.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
25406
29.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
19087
22.4 IPS |
|
|
Object Detection (SP)
|
100% |
1702
135.0 IPS |
|
|
Object Detection (HP)
|
97% |
2743
218.4 IPS |
|
|
Object Detection (Q)
|
94% |
2032
161.9 IPS |
|
|
Face Detection (SP)
|
100% |
3711
44.1 IPS |
|
|
Face Detection (HP)
|
100% |
6057
72.0 IPS |
|
|
Face Detection (Q)
|
100% |
3458
41.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6353
48.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
12245
94.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
8228
64.3 IPS |
|
|
Style Transfer (SP)
|
100% |
24870
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
39782
51.1 IPS |
|
|
Style Transfer (Q)
|
96% |
29575
38.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5140
189.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7220
266.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4533
167.4 IPS |
|
|
Text Classification (SP)
|
100% |
2349
3.14 KIPS |
|
|
Text Classification (HP)
|
100% |
4038
5.39 KIPS |
|
|
Text Classification (Q)
|
93% |
4018
5.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
4739
81.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6384
110.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6452
111.5 IPS |
