MacBook Pro (14-inch, 2024)
Geekbench AI Score
15659
Single Precision Score
17691
Half Precision Score
15485
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | himmallright |
| Upload Date | March 07 2025 09:37 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8076
1.50 KIPS |
|
|
Image Classification (HP)
|
100% |
8329
1.55 KIPS |
|
|
Image Classification (Q)
|
97% |
6796
1.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12229
198.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
13357
216.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
13420
217.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
56768
66.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
59312
69.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
55893
65.5 IPS |
|
|
Object Detection (SP)
|
100% |
7247
574.8 IPS |
|
|
Object Detection (HP)
|
100% |
7889
625.8 IPS |
|
|
Object Detection (Q)
|
91% |
6553
523.6 IPS |
|
|
Face Detection (SP)
|
100% |
26169
310.9 IPS |
|
|
Face Detection (HP)
|
100% |
28766
341.8 IPS |
|
|
Face Detection (Q)
|
100% |
20024
237.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
33887
261.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
36858
284.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
30241
236.3 IPS |
|
|
Style Transfer (SP)
|
100% |
126540
162.7 IPS |
|
|
Style Transfer (HP)
|
100% |
135576
174.3 IPS |
|
|
Style Transfer (Q)
|
96% |
127835
165.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23240
858.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25113
927.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19555
722.1 IPS |
|
|
Text Classification (SP)
|
100% |
2936
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5251
7.01 KIPS |
|
|
Text Classification (Q)
|
93% |
5322
7.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
2850
49.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3044
52.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2946
50.9 IPS |
