MacBook Pro (14-inch, 2024)
Geekbench AI Score
15094
Single Precision Score
16835
Half Precision Score
15716
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | thnzone6 |
| Upload Date | September 05 2025 09:30 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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 | 4.46 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7023
1.31 KIPS |
|
|
Image Classification (HP)
|
100% |
7737
1.44 KIPS |
|
|
Image Classification (Q)
|
96% |
6963
1.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12479
202.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
12946
209.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
12144
196.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
45592
53.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
47574
55.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
46661
54.7 IPS |
|
|
Object Detection (SP)
|
100% |
6899
547.2 IPS |
|
|
Object Detection (HP)
|
100% |
7151
567.2 IPS |
|
|
Object Detection (Q)
|
92% |
6536
521.7 IPS |
|
|
Face Detection (SP)
|
100% |
23280
276.6 IPS |
|
|
Face Detection (HP)
|
100% |
25877
307.5 IPS |
|
|
Face Detection (Q)
|
100% |
21523
255.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
31539
243.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
33187
255.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
29449
230.0 IPS |
|
|
Style Transfer (SP)
|
100% |
105111
135.1 IPS |
|
|
Style Transfer (HP)
|
100% |
112245
144.3 IPS |
|
|
Style Transfer (Q)
|
96% |
110476
142.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
18465
681.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18604
687.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16264
600.5 IPS |
|
|
Text Classification (SP)
|
100% |
2890
3.86 KIPS |
|
|
Text Classification (HP)
|
100% |
5145
6.87 KIPS |
|
|
Text Classification (Q)
|
93% |
5215
7.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
5410
93.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5819
100.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6002
103.7 IPS |
