MacBook Pro (14-inch, 2024)
Geekbench AI Score
4692
Single Precision Score
36556
Half Precision Score
51673
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | i0ntempest |
| Upload Date | January 05 2025 09:48 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D5034f) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1997
371.4 IPS |
|
|
Image Classification (HP)
|
100% |
17269
3.21 KIPS |
|
|
Image Classification (Q)
|
97% |
26974
5.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2160
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
21851
354.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
29739
482.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10006
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123284
143.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
231961
271.9 IPS |
|
|
Object Detection (SP)
|
100% |
2245
178.1 IPS |
|
|
Object Detection (HP)
|
100% |
18430
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
26343
2.10 KIPS |
|
|
Face Detection (SP)
|
100% |
3839
45.6 IPS |
|
|
Face Detection (HP)
|
100% |
42859
509.3 IPS |
|
|
Face Detection (Q)
|
100% |
60933
724.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8248
63.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
99554
767.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
171132
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
25216
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
232784
299.2 IPS |
|
|
Style Transfer (Q)
|
96% |
296903
383.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5836
215.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49218
1.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84675
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
2977
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
6265
8.36 KIPS |
|
|
Text Classification (Q)
|
93% |
5910
7.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
3852
66.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16232
279.6 IPS |
|
|
Machine Translation (Q)
|
98% |
17871
308.8 IPS |
