MacBook Pro (14-inch, 2024)
Geekbench AI Score
2211
Single Precision Score
31064
Half Precision Score
40693
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | feranick |
| Upload Date | December 04 2024 06:01 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B2091) |
| Model | MacBook Pro (14-inch, 2024) |
| Model ID | Mac16,6 |
| Motherboard | Mac16,6 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 3.62 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
731
135.9 IPS |
|
|
Image Classification (HP)
|
100% |
16785
3.12 KIPS |
|
|
Image Classification (Q)
|
97% |
21695
4.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
868
14.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
19886
322.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
28080
455.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7625
8.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
107225
125.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
196602
230.4 IPS |
|
|
Object Detection (SP)
|
100% |
968
76.7 IPS |
|
|
Object Detection (HP)
|
100% |
13332
1.06 KIPS |
|
|
Object Detection (Q)
|
91% |
15456
1.24 KIPS |
|
|
Face Detection (SP)
|
100% |
2299
27.3 IPS |
|
|
Face Detection (HP)
|
100% |
37546
446.1 IPS |
|
|
Face Detection (Q)
|
100% |
56943
676.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4439
34.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
89710
691.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
132425
1.04 KIPS |
|
|
Style Transfer (SP)
|
100% |
14815
19.0 IPS |
|
|
Style Transfer (HP)
|
100% |
204977
263.5 IPS |
|
|
Style Transfer (Q)
|
96% |
258780
333.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2434
89.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35300
1.30 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
53532
1.98 KIPS |
|
|
Text Classification (SP)
|
100% |
834
1.11 KIPS |
|
|
Text Classification (HP)
|
100% |
5324
7.11 KIPS |
|
|
Text Classification (Q)
|
93% |
4807
6.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
1947
33.5 IPS |
|
|
Machine Translation (HP)
|
100% |
13517
232.8 IPS |
|
|
Machine Translation (Q)
|
98% |
13395
231.5 IPS |
