MacBook Pro (14-inch, 2024)
Geekbench AI Score
5706
Single Precision Score
37908
Half Precision Score
51340
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | richh- |
| Upload Date | February 22 2025 11:33 PM |
| Views | 2 |
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, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2087
388.0 IPS |
|
|
Image Classification (HP)
|
100% |
17498
3.25 KIPS |
|
|
Image Classification (Q)
|
97% |
22459
4.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2493
40.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
23133
375.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
32694
530.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
18769
21.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
125087
146.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
231048
270.8 IPS |
|
|
Object Detection (SP)
|
100% |
2453
194.6 IPS |
|
|
Object Detection (HP)
|
100% |
21660
1.72 KIPS |
|
|
Object Detection (Q)
|
91% |
26310
2.10 KIPS |
|
|
Face Detection (SP)
|
100% |
4454
52.9 IPS |
|
|
Face Detection (HP)
|
100% |
44731
531.5 IPS |
|
|
Face Detection (Q)
|
100% |
65180
774.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8324
64.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
109454
843.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
180883
1.41 KIPS |
|
|
Style Transfer (SP)
|
100% |
35923
46.2 IPS |
|
|
Style Transfer (HP)
|
100% |
239196
307.5 IPS |
|
|
Style Transfer (Q)
|
96% |
303418
391.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7072
261.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46934
1.73 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
81129
3.00 KIPS |
|
|
Text Classification (SP)
|
100% |
2909
3.88 KIPS |
|
|
Text Classification (HP)
|
100% |
6098
8.14 KIPS |
|
|
Text Classification (Q)
|
93% |
5778
7.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
5575
96.0 IPS |
|
|
Machine Translation (HP)
|
100% |
16671
287.2 IPS |
|
|
Machine Translation (Q)
|
98% |
16997
293.7 IPS |
