MacBook Pro (14-inch, 2024)
Geekbench AI Score
4685
Single Precision Score
7745
Half Precision Score
6226
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 01 2025 03:02 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2039
379.1 IPS |
|
|
Image Classification (HP)
|
100% |
3333
619.8 IPS |
|
|
Image Classification (Q)
|
96% |
2312
431.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2237
36.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3352
54.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3577
58.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9418
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
19097
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16389
19.2 IPS |
|
|
Object Detection (SP)
|
100% |
2383
189.0 IPS |
|
|
Object Detection (HP)
|
97% |
3746
298.2 IPS |
|
|
Object Detection (Q)
|
94% |
2674
213.1 IPS |
|
|
Face Detection (SP)
|
100% |
3917
46.5 IPS |
|
|
Face Detection (HP)
|
100% |
6941
82.5 IPS |
|
|
Face Detection (Q)
|
100% |
4258
50.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8433
65.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14369
111.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10029
78.3 IPS |
|
|
Style Transfer (SP)
|
100% |
20336
26.1 IPS |
|
|
Style Transfer (HP)
|
100% |
38420
49.4 IPS |
|
|
Style Transfer (Q)
|
96% |
31628
40.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5921
218.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7229
266.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5046
186.3 IPS |
|
|
Text Classification (SP)
|
100% |
2978
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5337
7.12 KIPS |
|
|
Text Classification (Q)
|
93% |
5363
7.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
4205
72.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6579
113.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6610
114.2 IPS |
