MacBook Pro (14-inch, 2024)
Geekbench AI Score
4750
Single Precision Score
36496
Half Precision Score
52381
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | shafnitz |
| Upload Date | March 13 2025 04:18 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| Model | MacBook Pro (14-inch, 2024) |
| Model ID | Mac16,1 |
| Motherboard | Mac16,1 |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M4 |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2017
375.1 IPS |
|
|
Image Classification (HP)
|
100% |
17688
3.29 KIPS |
|
|
Image Classification (Q)
|
97% |
25804
4.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2197
35.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
21200
343.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
30450
493.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10063
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123278
143.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
232772
272.8 IPS |
|
|
Object Detection (SP)
|
100% |
2273
180.3 IPS |
|
|
Object Detection (HP)
|
100% |
18451
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
25992
2.08 KIPS |
|
|
Face Detection (SP)
|
100% |
3921
46.6 IPS |
|
|
Face Detection (HP)
|
100% |
43131
512.5 IPS |
|
|
Face Detection (Q)
|
100% |
61447
730.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8298
63.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
99203
764.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
170148
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
25292
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
230609
296.5 IPS |
|
|
Style Transfer (Q)
|
96% |
298331
385.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5857
216.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50862
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87576
3.23 KIPS |
|
|
Text Classification (SP)
|
100% |
3052
4.07 KIPS |
|
|
Text Classification (HP)
|
100% |
5985
7.99 KIPS |
|
|
Text Classification (Q)
|
93% |
6580
8.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
3929
67.7 IPS |
|
|
Machine Translation (HP)
|
100% |
16367
281.9 IPS |
|
|
Machine Translation (Q)
|
98% |
18200
314.5 IPS |
