MacBook Pro (14-inch, 2024)
Geekbench AI Score
10042
Single Precision Score
11720
Half Precision Score
10488
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 01 2025 03:04 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4590
853.6 IPS |
|
|
Image Classification (HP)
|
100% |
4904
912.0 IPS |
|
|
Image Classification (Q)
|
96% |
4582
855.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
7261
117.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
8081
131.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
7799
126.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
28046
32.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
30171
35.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
29927
35.1 IPS |
|
|
Object Detection (SP)
|
100% |
4636
367.7 IPS |
|
|
Object Detection (HP)
|
100% |
5305
420.8 IPS |
|
|
Object Detection (Q)
|
92% |
4871
388.8 IPS |
|
|
Face Detection (SP)
|
100% |
12241
145.5 IPS |
|
|
Face Detection (HP)
|
100% |
16956
201.5 IPS |
|
|
Face Detection (Q)
|
100% |
13199
156.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
21007
161.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
22509
173.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
20613
161.0 IPS |
|
|
Style Transfer (SP)
|
100% |
57849
74.4 IPS |
|
|
Style Transfer (HP)
|
100% |
67736
87.1 IPS |
|
|
Style Transfer (Q)
|
96% |
65878
85.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12071
445.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11935
440.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10657
393.5 IPS |
|
|
Text Classification (SP)
|
100% |
3004
4.01 KIPS |
|
|
Text Classification (HP)
|
100% |
5408
7.22 KIPS |
|
|
Text Classification (Q)
|
93% |
5334
7.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
4463
76.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4620
79.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3036
52.5 IPS |
