MacBook Pro (14-inch, 2024)
Geekbench AI Score
5781
Single Precision Score
37030
Half Precision Score
49647
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | lafcadio |
| Upload Date | December 04 2024 04:10 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B2091) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2079
386.7 IPS |
|
|
Image Classification (HP)
|
100% |
17361
3.23 KIPS |
|
|
Image Classification (Q)
|
97% |
22167
4.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2529
41.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
23162
375.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
32441
525.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
18845
22.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
123216
143.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
230963
270.7 IPS |
|
|
Object Detection (SP)
|
100% |
2477
196.5 IPS |
|
|
Object Detection (HP)
|
100% |
19749
1.57 KIPS |
|
|
Object Detection (Q)
|
91% |
23813
1.90 KIPS |
|
|
Face Detection (SP)
|
100% |
4573
54.3 IPS |
|
|
Face Detection (HP)
|
100% |
44789
532.2 IPS |
|
|
Face Detection (Q)
|
100% |
62554
743.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8826
68.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
106116
817.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
178751
1.40 KIPS |
|
|
Style Transfer (SP)
|
100% |
35250
45.3 IPS |
|
|
Style Transfer (HP)
|
100% |
237321
305.1 IPS |
|
|
Style Transfer (Q)
|
96% |
302689
390.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7034
259.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46359
1.71 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79206
2.92 KIPS |
|
|
Text Classification (SP)
|
100% |
2939
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5567
7.43 KIPS |
|
|
Text Classification (Q)
|
93% |
5023
6.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
5780
99.6 IPS |
|
|
Machine Translation (HP)
|
100% |
17023
293.2 IPS |
|
|
Machine Translation (Q)
|
98% |
17084
295.2 IPS |
