MacBook Pro (14-inch, 2024)
Geekbench AI Score
13706
Single Precision Score
15367
Half Precision Score
13584
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | ddalledo |
| Upload Date | January 22 2025 12:30 PM |
| Views | 2 |
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, 12 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6970
1.30 KIPS |
|
|
Image Classification (HP)
|
100% |
7456
1.39 KIPS |
|
|
Image Classification (Q)
|
97% |
6273
1.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10653
172.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
11255
182.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
11536
187.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
46286
54.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
48407
56.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
45863
53.8 IPS |
|
|
Object Detection (SP)
|
100% |
6742
534.8 IPS |
|
|
Object Detection (HP)
|
100% |
7353
583.3 IPS |
|
|
Object Detection (Q)
|
91% |
5989
478.5 IPS |
|
|
Face Detection (SP)
|
100% |
23658
281.1 IPS |
|
|
Face Detection (HP)
|
100% |
25478
302.7 IPS |
|
|
Face Detection (Q)
|
100% |
18590
220.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
31116
239.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
32999
254.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
27609
215.8 IPS |
|
|
Style Transfer (SP)
|
100% |
104466
134.3 IPS |
|
|
Style Transfer (HP)
|
100% |
113429
145.8 IPS |
|
|
Style Transfer (Q)
|
96% |
107299
138.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16863
622.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17556
648.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14181
523.6 IPS |
|
|
Text Classification (SP)
|
100% |
2943
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5287
7.06 KIPS |
|
|
Text Classification (Q)
|
93% |
5243
7.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
2647
45.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2778
47.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2629
45.4 IPS |
