MacBook Pro (14-inch, 2024)
Geekbench AI Score
4838
Single Precision Score
7881
Half Precision Score
6350
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | huxiaoxi |
| Upload Date | July 09 2025 03:37 PM |
| Views | 5 |
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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2078
386.4 IPS |
|
|
Image Classification (HP)
|
100% |
3321
617.6 IPS |
|
|
Image Classification (Q)
|
96% |
2309
431.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2245
36.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3315
53.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3659
59.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9972
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19425
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16660
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2437
193.3 IPS |
|
|
Object Detection (HP)
|
97% |
3759
299.3 IPS |
|
|
Object Detection (Q)
|
94% |
2709
215.9 IPS |
|
|
Face Detection (SP)
|
100% |
4201
49.9 IPS |
|
|
Face Detection (HP)
|
100% |
7500
89.1 IPS |
|
|
Face Detection (Q)
|
100% |
4356
51.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8609
66.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14581
112.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10226
79.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21539
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
38429
49.4 IPS |
|
|
Style Transfer (Q)
|
96% |
31776
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6085
224.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7101
262.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5026
185.6 IPS |
|
|
Text Classification (SP)
|
100% |
2974
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5408
7.22 KIPS |
|
|
Text Classification (Q)
|
93% |
5445
7.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
4403
75.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7125
123.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7225
124.9 IPS |
