MacBook Pro (14-inch, 2024)
Geekbench AI Score
5804
Single Precision Score
8954
Half Precision Score
6888
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | January 12 2025 12:57 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | MacBook Pro (14-inch, 2024) |
| Model ID | Mac16,8 |
| Motherboard | Mac16,8 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2088
388.3 IPS |
|
|
Image Classification (HP)
|
100% |
3047
566.7 IPS |
|
|
Image Classification (Q)
|
96% |
2197
410.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2508
40.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3590
58.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3910
63.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
18868
22.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
30291
35.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
24240
28.4 IPS |
|
|
Object Detection (SP)
|
100% |
2488
197.4 IPS |
|
|
Object Detection (HP)
|
97% |
3833
305.1 IPS |
|
|
Object Detection (Q)
|
94% |
2664
212.4 IPS |
|
|
Face Detection (SP)
|
100% |
4663
55.4 IPS |
|
|
Face Detection (HP)
|
100% |
8168
97.1 IPS |
|
|
Face Detection (Q)
|
100% |
4669
55.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8931
68.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14640
113.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10017
78.2 IPS |
|
|
Style Transfer (SP)
|
100% |
35298
45.4 IPS |
|
|
Style Transfer (HP)
|
100% |
48859
62.8 IPS |
|
|
Style Transfer (Q)
|
96% |
38624
49.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7027
259.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9546
352.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5206
192.2 IPS |
|
|
Text Classification (SP)
|
100% |
2935
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5342
7.13 KIPS |
|
|
Text Classification (Q)
|
93% |
5240
7.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
5822
100.3 IPS |
|
|
Machine Translation (HP)
|
98% |
8758
151.3 IPS |
|
|
Machine Translation (Q)
|
98% |
8798
152.0 IPS |
