[macOS 15.3.2] MacBook Pro (14-inch, 2024) MacBook Pro (14-inch, 2024)
Geekbench AI Score
8929
Single Precision Score
11174
Half Precision Score
10088
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | nuonuo |
| Upload Date | March 26 2025 07:28 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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% |
4612
857.7 IPS |
|
|
Image Classification (HP)
|
100% |
4918
914.6 IPS |
|
|
Image Classification (Q)
|
97% |
4457
831.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4907
79.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
7156
116.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
7654
124.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
29825
34.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
32051
37.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
30563
35.8 IPS |
|
|
Object Detection (SP)
|
100% |
5026
398.7 IPS |
|
|
Object Detection (HP)
|
100% |
5427
430.4 IPS |
|
|
Object Detection (Q)
|
91% |
4733
378.2 IPS |
|
|
Face Detection (SP)
|
100% |
12916
153.5 IPS |
|
|
Face Detection (HP)
|
100% |
17152
203.8 IPS |
|
|
Face Detection (Q)
|
100% |
12217
145.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
21370
164.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
23641
182.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
20309
158.8 IPS |
|
|
Style Transfer (SP)
|
100% |
58804
75.6 IPS |
|
|
Style Transfer (HP)
|
100% |
72163
92.8 IPS |
|
|
Style Transfer (Q)
|
96% |
67913
87.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12322
455.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13727
506.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10795
398.6 IPS |
|
|
Text Classification (SP)
|
100% |
2992
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
5578
7.45 KIPS |
|
|
Text Classification (Q)
|
93% |
5478
7.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
1588
27.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2214
38.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2220
38.4 IPS |
