MacBook Pro (14-inch, 2024)
Geekbench AI Score
5955
Single Precision Score
9212
Half Precision Score
7050
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | feranick |
| Upload Date | December 04 2024 05:55 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 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% |
2131
396.3 IPS |
|
|
Image Classification (HP)
|
100% |
3071
571.2 IPS |
|
|
Image Classification (Q)
|
96% |
2191
409.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2541
41.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3629
58.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3976
64.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
19169
22.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
32044
37.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
25073
29.4 IPS |
|
|
Object Detection (SP)
|
100% |
2596
206.0 IPS |
|
|
Object Detection (HP)
|
97% |
3891
309.7 IPS |
|
|
Object Detection (Q)
|
94% |
2690
214.4 IPS |
|
|
Face Detection (SP)
|
100% |
4805
57.1 IPS |
|
|
Face Detection (HP)
|
100% |
8242
97.9 IPS |
|
|
Face Detection (Q)
|
100% |
4682
55.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9101
70.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
15170
117.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10541
82.3 IPS |
|
|
Style Transfer (SP)
|
100% |
36943
47.5 IPS |
|
|
Style Transfer (HP)
|
100% |
53268
68.5 IPS |
|
|
Style Transfer (Q)
|
96% |
40369
52.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7210
266.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9634
355.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5359
197.9 IPS |
|
|
Text Classification (SP)
|
100% |
2963
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5369
7.17 KIPS |
|
|
Text Classification (Q)
|
93% |
5368
7.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
6039
104.0 IPS |
|
|
Machine Translation (HP)
|
98% |
9200
159.0 IPS |
|
|
Machine Translation (Q)
|
98% |
9010
155.7 IPS |
