MacBook Pro (14-inch, 2024)
Geekbench AI Score
5929
Single Precision Score
37033
Half Precision Score
50244
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | wyncdavies |
| Upload Date | January 21 2025 09:29 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | MacBook Pro (14-inch, 2024) |
| Model ID | Mac16,6 |
| Motherboard | Mac16,6 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2113
392.9 IPS |
|
|
Image Classification (HP)
|
100% |
17641
3.28 KIPS |
|
|
Image Classification (Q)
|
97% |
23736
4.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2582
41.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
22681
367.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
31141
504.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
19096
22.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
123227
143.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
231696
271.6 IPS |
|
|
Object Detection (SP)
|
100% |
2550
202.3 IPS |
|
|
Object Detection (HP)
|
100% |
20794
1.65 KIPS |
|
|
Object Detection (Q)
|
91% |
23696
1.89 KIPS |
|
|
Face Detection (SP)
|
100% |
4759
56.5 IPS |
|
|
Face Detection (HP)
|
100% |
44586
529.8 IPS |
|
|
Face Detection (Q)
|
100% |
64339
764.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9038
69.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
104970
808.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
178436
1.40 KIPS |
|
|
Style Transfer (SP)
|
100% |
35721
45.9 IPS |
|
|
Style Transfer (HP)
|
100% |
233063
299.6 IPS |
|
|
Style Transfer (Q)
|
96% |
297528
383.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7198
265.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46462
1.72 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78976
2.92 KIPS |
|
|
Text Classification (SP)
|
100% |
2981
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
5685
7.59 KIPS |
|
|
Text Classification (Q)
|
93% |
5503
7.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
6138
105.7 IPS |
|
|
Machine Translation (HP)
|
100% |
16426
283.0 IPS |
|
|
Machine Translation (Q)
|
98% |
17021
294.1 IPS |
