MacBook Pro (14-inch, 2024)
Geekbench AI Score
5700
Single Precision Score
9306
Half Precision Score
7165
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 23 2025 01:49 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2170
403.6 IPS |
|
|
Image Classification (HP)
|
100% |
3049
567.1 IPS |
|
|
Image Classification (Q)
|
96% |
2171
405.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2329
37.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3422
55.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3906
63.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
16942
19.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
33861
39.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
26572
31.1 IPS |
|
|
Object Detection (SP)
|
100% |
2589
205.4 IPS |
|
|
Object Detection (HP)
|
97% |
3888
309.5 IPS |
|
|
Object Detection (Q)
|
94% |
2757
219.8 IPS |
|
|
Face Detection (SP)
|
100% |
5041
59.9 IPS |
|
|
Face Detection (HP)
|
100% |
8153
96.9 IPS |
|
|
Face Detection (Q)
|
100% |
4777
56.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8835
68.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
15252
117.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9683
75.6 IPS |
|
|
Style Transfer (SP)
|
100% |
30646
39.4 IPS |
|
|
Style Transfer (HP)
|
100% |
57357
73.7 IPS |
|
|
Style Transfer (Q)
|
96% |
43535
56.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7087
261.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9591
354.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5334
197.0 IPS |
|
|
Text Classification (SP)
|
100% |
3192
4.26 KIPS |
|
|
Text Classification (HP)
|
99% |
5581
7.45 KIPS |
|
|
Text Classification (Q)
|
93% |
5573
7.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
5295
91.2 IPS |
|
|
Machine Translation (HP)
|
98% |
9297
160.7 IPS |
|
|
Machine Translation (Q)
|
98% |
9597
165.9 IPS |
