MacBook Pro (14-inch, 2024)
Geekbench AI Score
5795
Single Precision Score
9383
Half Precision Score
7164
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | dodovdv |
| Upload Date | March 17 2026 05:54 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| 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% |
2167
402.9 IPS |
|
|
Image Classification (HP)
|
100% |
3090
574.7 IPS |
|
|
Image Classification (Q)
|
96% |
2129
397.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2306
37.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3426
55.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3912
63.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
17471
20.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
34056
39.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
26773
31.4 IPS |
|
|
Object Detection (SP)
|
100% |
2595
205.8 IPS |
|
|
Object Detection (HP)
|
97% |
3892
309.9 IPS |
|
|
Object Detection (Q)
|
94% |
2761
220.1 IPS |
|
|
Face Detection (SP)
|
100% |
5111
60.7 IPS |
|
|
Face Detection (HP)
|
100% |
8557
101.7 IPS |
|
|
Face Detection (Q)
|
100% |
4817
57.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8859
68.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
15241
117.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9640
75.2 IPS |
|
|
Style Transfer (SP)
|
100% |
30659
39.4 IPS |
|
|
Style Transfer (HP)
|
100% |
57243
73.6 IPS |
|
|
Style Transfer (Q)
|
96% |
43853
56.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6932
256.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9455
349.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5396
199.3 IPS |
|
|
Text Classification (SP)
|
100% |
3240
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
5619
7.50 KIPS |
|
|
Text Classification (Q)
|
93% |
5503
7.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
6048
104.2 IPS |
|
|
Machine Translation (HP)
|
98% |
9513
164.4 IPS |
|
|
Machine Translation (Q)
|
98% |
9578
165.5 IPS |
