MacBook Pro (14-inch, 2024)
Geekbench AI Score
22176
Single Precision Score
24661
Half Precision Score
22007
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | southface |
| Upload Date | January 09 2025 07:50 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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, 16 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10427
1.94 KIPS |
|
|
Image Classification (HP)
|
100% |
10967
2.04 KIPS |
|
|
Image Classification (Q)
|
97% |
9021
1.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19859
321.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
20735
336.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
21494
348.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
106765
124.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
110719
129.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
104515
122.5 IPS |
|
|
Object Detection (SP)
|
100% |
9332
740.2 IPS |
|
|
Object Detection (HP)
|
100% |
10411
825.8 IPS |
|
|
Object Detection (Q)
|
91% |
9022
720.9 IPS |
|
|
Face Detection (SP)
|
100% |
39708
471.8 IPS |
|
|
Face Detection (HP)
|
100% |
43027
511.3 IPS |
|
|
Face Detection (Q)
|
100% |
32506
386.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
44947
346.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
47854
368.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
40518
316.7 IPS |
|
|
Style Transfer (SP)
|
100% |
223720
287.6 IPS |
|
|
Style Transfer (HP)
|
100% |
240233
308.8 IPS |
|
|
Style Transfer (Q)
|
96% |
219622
283.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
32155
1.19 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
33554
1.24 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26076
962.9 IPS |
|
|
Text Classification (SP)
|
100% |
2986
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
5259
7.02 KIPS |
|
|
Text Classification (Q)
|
93% |
5341
7.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
3637
62.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3637
62.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3619
62.5 IPS |
