MacBook Pro (14-inch, 2024)
Geekbench AI Score
5652
Single Precision Score
9273
Half Precision Score
7146
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 12 2025 07:02 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 4.51 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2161
401.9 IPS |
|
|
Image Classification (HP)
|
100% |
3088
574.3 IPS |
|
|
Image Classification (Q)
|
96% |
2204
411.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2456
39.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3619
58.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3792
61.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
16429
19.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
34085
39.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
25911
30.4 IPS |
|
|
Object Detection (SP)
|
100% |
2458
194.9 IPS |
|
|
Object Detection (HP)
|
97% |
3805
302.9 IPS |
|
|
Object Detection (Q)
|
94% |
2732
217.7 IPS |
|
|
Face Detection (SP)
|
100% |
4799
57.0 IPS |
|
|
Face Detection (HP)
|
100% |
8241
97.9 IPS |
|
|
Face Detection (Q)
|
100% |
4679
55.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8540
65.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14686
113.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10380
81.0 IPS |
|
|
Style Transfer (SP)
|
100% |
28846
37.1 IPS |
|
|
Style Transfer (HP)
|
100% |
56496
72.6 IPS |
|
|
Style Transfer (Q)
|
96% |
42271
54.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7109
262.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9452
349.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5985
221.0 IPS |
|
|
Text Classification (SP)
|
100% |
3227
4.31 KIPS |
|
|
Text Classification (HP)
|
99% |
5525
7.38 KIPS |
|
|
Text Classification (Q)
|
93% |
5479
7.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
5732
98.7 IPS |
|
|
Machine Translation (HP)
|
98% |
9093
157.1 IPS |
|
|
Machine Translation (Q)
|
98% |
8719
150.7 IPS |
