MacBook Pro (14-inch, 2024)
Geekbench AI Score
9302
Single Precision Score
11177
Half Precision Score
9788
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 23 2024 08:18 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
4723
878.4 IPS |
|
|
Image Classification (HP)
|
100% |
5037
936.7 IPS |
|
|
Image Classification (Q)
|
97% |
4372
815.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
5025
81.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
7071
114.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
7659
124.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
29913
34.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
32040
37.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
30443
35.7 IPS |
|
|
Object Detection (SP)
|
100% |
4998
396.4 IPS |
|
|
Object Detection (HP)
|
100% |
5438
431.3 IPS |
|
|
Object Detection (Q)
|
91% |
4650
371.5 IPS |
|
|
Face Detection (SP)
|
100% |
13065
155.2 IPS |
|
|
Face Detection (HP)
|
100% |
17006
202.1 IPS |
|
|
Face Detection (Q)
|
100% |
12091
143.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
21515
165.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
23544
181.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
20124
157.3 IPS |
|
|
Style Transfer (SP)
|
100% |
59802
76.9 IPS |
|
|
Style Transfer (HP)
|
100% |
71855
92.4 IPS |
|
|
Style Transfer (Q)
|
96% |
68042
87.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12774
471.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13701
505.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10946
404.2 IPS |
|
|
Text Classification (SP)
|
100% |
3070
4.10 KIPS |
|
|
Text Classification (HP)
|
100% |
5598
7.47 KIPS |
|
|
Text Classification (Q)
|
93% |
5356
7.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
2075
35.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2223
38.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1756
30.3 IPS |
