MacBook Pro (14-inch, 2024)
Geekbench AI Score
5801
Single Precision Score
37600
Half Precision Score
50170
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | FreddySwift |
| Upload Date | October 28 2025 02:56 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2151
400.0 IPS |
|
|
Image Classification (HP)
|
100% |
18089
3.36 KIPS |
|
|
Image Classification (Q)
|
97% |
21302
3.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2314
37.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
23532
381.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
31850
516.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
17246
20.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
122603
143.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
229112
268.5 IPS |
|
|
Object Detection (SP)
|
100% |
2597
206.0 IPS |
|
|
Object Detection (HP)
|
100% |
19793
1.57 KIPS |
|
|
Object Detection (Q)
|
91% |
24134
1.93 KIPS |
|
|
Face Detection (SP)
|
100% |
5090
60.5 IPS |
|
|
Face Detection (HP)
|
100% |
44477
528.5 IPS |
|
|
Face Detection (Q)
|
100% |
63600
755.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8818
67.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
111032
855.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
177235
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
30530
39.2 IPS |
|
|
Style Transfer (HP)
|
100% |
237037
304.7 IPS |
|
|
Style Transfer (Q)
|
96% |
328925
424.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7093
261.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49002
1.81 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78651
2.90 KIPS |
|
|
Text Classification (SP)
|
100% |
3316
4.43 KIPS |
|
|
Text Classification (HP)
|
99% |
5773
7.71 KIPS |
|
|
Text Classification (Q)
|
93% |
5579
7.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
6010
103.5 IPS |
|
|
Machine Translation (HP)
|
100% |
16514
284.5 IPS |
|
|
Machine Translation (Q)
|
98% |
16556
286.1 IPS |
