MacBook Pro (14-inch, 2024)
Geekbench AI Score
5807
Single Precision Score
37768
Half Precision Score
51095
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | bees_and_thank_u |
| Upload Date | November 06 2025 10:22 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B77) |
| 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% |
2164
402.5 IPS |
|
|
Image Classification (HP)
|
100% |
17879
3.32 KIPS |
|
|
Image Classification (Q)
|
97% |
22197
4.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2379
38.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
23661
383.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
32375
524.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
17370
20.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
123009
143.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
232274
272.2 IPS |
|
|
Object Detection (SP)
|
100% |
2582
204.8 IPS |
|
|
Object Detection (HP)
|
100% |
20112
1.60 KIPS |
|
|
Object Detection (Q)
|
91% |
24768
1.98 KIPS |
|
|
Face Detection (SP)
|
100% |
5060
60.1 IPS |
|
|
Face Detection (HP)
|
100% |
45093
535.8 IPS |
|
|
Face Detection (Q)
|
100% |
64329
764.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8828
68.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
109509
843.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
179967
1.41 KIPS |
|
|
Style Transfer (SP)
|
100% |
30364
39.0 IPS |
|
|
Style Transfer (HP)
|
100% |
236946
304.6 IPS |
|
|
Style Transfer (Q)
|
96% |
331752
428.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7134
263.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50472
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80817
2.98 KIPS |
|
|
Text Classification (SP)
|
100% |
3303
4.41 KIPS |
|
|
Text Classification (HP)
|
99% |
5748
7.67 KIPS |
|
|
Text Classification (Q)
|
93% |
5630
7.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
5914
101.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16625
286.4 IPS |
|
|
Machine Translation (Q)
|
98% |
16788
290.1 IPS |
