MacBook Pro (14-inch, 2024)
Geekbench AI Score
4763
Single Precision Score
36270
Half Precision Score
51289
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 24 2024 01:20 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2041
379.5 IPS |
|
|
Image Classification (HP)
|
100% |
17824
3.31 KIPS |
|
|
Image Classification (Q)
|
97% |
24879
4.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2190
35.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
21964
356.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
30265
490.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10096
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
123813
144.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
233073
273.2 IPS |
|
|
Object Detection (SP)
|
100% |
2293
181.9 IPS |
|
|
Object Detection (HP)
|
100% |
18385
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
26635
2.13 KIPS |
|
|
Face Detection (SP)
|
100% |
3949
46.9 IPS |
|
|
Face Detection (HP)
|
100% |
38922
462.5 IPS |
|
|
Face Detection (Q)
|
100% |
55128
655.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8334
64.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
99222
764.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
168225
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
25462
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
232645
299.1 IPS |
|
|
Style Transfer (Q)
|
96% |
299899
387.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5880
217.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48956
1.81 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87100
3.22 KIPS |
|
|
Text Classification (SP)
|
100% |
2996
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
6107
8.15 KIPS |
|
|
Text Classification (Q)
|
93% |
6133
8.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3936
67.8 IPS |
|
|
Machine Translation (HP)
|
100% |
16461
283.5 IPS |
|
|
Machine Translation (Q)
|
98% |
18141
313.5 IPS |
