MacBook Pro (14-inch, 2024)
Geekbench AI Score
5765
Single Precision Score
37246
Half Precision Score
50300
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | bassiek |
| Upload Date | February 21 2025 12:15 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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 | 4.51 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2074
385.6 IPS |
|
|
Image Classification (HP)
|
100% |
17621
3.28 KIPS |
|
|
Image Classification (Q)
|
97% |
21885
4.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2533
41.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
23216
376.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
33111
536.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
18938
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
123119
143.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
229983
269.6 IPS |
|
|
Object Detection (SP)
|
100% |
2490
197.5 IPS |
|
|
Object Detection (HP)
|
100% |
20204
1.60 KIPS |
|
|
Object Detection (Q)
|
91% |
23838
1.90 KIPS |
|
|
Face Detection (SP)
|
100% |
4514
53.6 IPS |
|
|
Face Detection (HP)
|
100% |
44692
531.0 IPS |
|
|
Face Detection (Q)
|
100% |
63888
759.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8673
66.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
111794
861.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
177987
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
35121
45.1 IPS |
|
|
Style Transfer (HP)
|
100% |
237513
305.3 IPS |
|
|
Style Transfer (Q)
|
96% |
304765
393.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7028
259.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46834
1.73 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78330
2.89 KIPS |
|
|
Text Classification (SP)
|
100% |
2939
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5486
7.32 KIPS |
|
|
Text Classification (Q)
|
93% |
5822
7.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
5770
99.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16561
285.3 IPS |
|
|
Machine Translation (Q)
|
98% |
16516
285.4 IPS |
