MacBook Pro (14-inch, 2024)
Geekbench AI Score
5377
Single Precision Score
9067
Half Precision Score
7023
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 08 2025 12:12 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 4.50 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2073
385.5 IPS |
|
|
Image Classification (HP)
|
100% |
3029
563.2 IPS |
|
|
Image Classification (Q)
|
96% |
2173
405.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2283
37.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3441
55.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3902
63.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
17414
20.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
32280
37.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
24514
28.7 IPS |
|
|
Object Detection (SP)
|
100% |
2469
195.8 IPS |
|
|
Object Detection (HP)
|
97% |
3824
304.5 IPS |
|
|
Object Detection (Q)
|
94% |
2682
213.8 IPS |
|
|
Face Detection (SP)
|
100% |
4703
55.9 IPS |
|
|
Face Detection (HP)
|
100% |
7947
94.4 IPS |
|
|
Face Detection (Q)
|
100% |
4667
55.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8654
66.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14813
114.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10362
80.9 IPS |
|
|
Style Transfer (SP)
|
100% |
25281
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
52147
67.0 IPS |
|
|
Style Transfer (Q)
|
96% |
39734
51.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5965
220.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10036
370.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5742
212.0 IPS |
|
|
Text Classification (SP)
|
100% |
2886
3.85 KIPS |
|
|
Text Classification (HP)
|
100% |
5261
7.02 KIPS |
|
|
Text Classification (Q)
|
93% |
5290
7.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
5609
96.6 IPS |
|
|
Machine Translation (HP)
|
98% |
9006
155.6 IPS |
|
|
Machine Translation (Q)
|
98% |
8980
155.2 IPS |
