DevBook MacBook Pro (14-inch, 2024)
Geekbench AI Score
5874
Single Precision Score
37941
Half Precision Score
49632
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | tntoak |
| Upload Date | February 07 2025 10:53 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| Model | MacBook Pro (14-inch, 2024) |
| Model ID | Mac16,8 |
| Motherboard | Mac16,8 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2168
403.2 IPS |
|
|
Image Classification (HP)
|
100% |
17776
3.31 KIPS |
|
|
Image Classification (Q)
|
97% |
22852
4.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2546
41.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
23715
384.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
33136
537.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
18869
22.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
123929
144.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
233805
274.0 IPS |
|
|
Object Detection (SP)
|
100% |
2556
202.8 IPS |
|
|
Object Detection (HP)
|
100% |
20974
1.66 KIPS |
|
|
Object Detection (Q)
|
91% |
25171
2.01 KIPS |
|
|
Face Detection (SP)
|
100% |
4614
54.8 IPS |
|
|
Face Detection (HP)
|
100% |
45409
539.6 IPS |
|
|
Face Detection (Q)
|
100% |
55987
665.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8957
69.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
112441
866.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
181812
1.42 KIPS |
|
|
Style Transfer (SP)
|
100% |
36015
46.3 IPS |
|
|
Style Transfer (HP)
|
100% |
239906
308.4 IPS |
|
|
Style Transfer (Q)
|
96% |
308625
398.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7178
265.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47686
1.76 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
81062
2.99 KIPS |
|
|
Text Classification (SP)
|
100% |
2950
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5880
7.85 KIPS |
|
|
Text Classification (Q)
|
93% |
4748
6.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
5833
100.5 IPS |
|
|
Machine Translation (HP)
|
100% |
16427
283.0 IPS |
|
|
Machine Translation (Q)
|
98% |
16834
290.9 IPS |
