MacBook Pro (14-inch, 2024)
Geekbench AI Score
13958
Single Precision Score
16009
Half Precision Score
13813
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | julioarregoitia |
| Upload Date | December 22 2024 10:26 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | MacBook Pro (14-inch, 2024) |
| Model ID | Mac16,8 |
| Motherboard | Mac16,8 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7620
1.42 KIPS |
|
|
Image Classification (HP)
|
100% |
7999
1.49 KIPS |
|
|
Image Classification (Q)
|
97% |
6833
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12012
194.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
12754
206.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
13297
215.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
56167
65.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
58994
68.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
55863
65.5 IPS |
|
|
Object Detection (SP)
|
100% |
7373
584.8 IPS |
|
|
Object Detection (HP)
|
100% |
7538
597.9 IPS |
|
|
Object Detection (Q)
|
91% |
6260
500.3 IPS |
|
|
Face Detection (SP)
|
100% |
24789
294.5 IPS |
|
|
Face Detection (HP)
|
100% |
28558
339.3 IPS |
|
|
Face Detection (Q)
|
100% |
20746
246.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
33164
255.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
35332
272.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
29862
233.4 IPS |
|
|
Style Transfer (SP)
|
100% |
123207
158.4 IPS |
|
|
Style Transfer (HP)
|
100% |
135091
173.7 IPS |
|
|
Style Transfer (Q)
|
96% |
127214
164.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22357
825.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24857
917.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18494
682.9 IPS |
|
|
Text Classification (SP)
|
100% |
2921
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5169
6.90 KIPS |
|
|
Text Classification (Q)
|
93% |
5177
6.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
1120
19.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1392
24.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1055
18.2 IPS |
