MacBook Pro (14-inch, 2024)
Geekbench AI Score
15518
Single Precision Score
17513
Half Precision Score
16269
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | zhangleimoth |
| Upload Date | October 24 2025 09:43 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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 | 4.27 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7355
1.37 KIPS |
|
|
Image Classification (HP)
|
100% |
7923
1.47 KIPS |
|
|
Image Classification (Q)
|
96% |
7212
1.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12628
204.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
13207
214.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
12511
202.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
44362
51.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
49665
58.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
48117
56.4 IPS |
|
|
Object Detection (SP)
|
100% |
7031
557.7 IPS |
|
|
Object Detection (HP)
|
100% |
7372
584.8 IPS |
|
|
Object Detection (Q)
|
92% |
6687
533.8 IPS |
|
|
Face Detection (SP)
|
100% |
24224
287.8 IPS |
|
|
Face Detection (HP)
|
100% |
26534
315.3 IPS |
|
|
Face Detection (Q)
|
100% |
21828
259.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
32057
247.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
33823
260.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
30530
238.5 IPS |
|
|
Style Transfer (SP)
|
100% |
102513
131.8 IPS |
|
|
Style Transfer (HP)
|
100% |
113469
145.9 IPS |
|
|
Style Transfer (Q)
|
96% |
110050
142.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16420
606.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17897
660.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15482
571.7 IPS |
|
|
Text Classification (SP)
|
100% |
3624
4.84 KIPS |
|
|
Text Classification (HP)
|
99% |
6108
8.15 KIPS |
|
|
Text Classification (Q)
|
93% |
6140
8.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
5902
101.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6365
109.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6421
111.0 IPS |
