MacBook Pro (14-inch, 2024)
Geekbench AI Score
5775
Single Precision Score
37090
Half Precision Score
49914
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 12 2025 03:07 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C5031i) |
| 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% |
2165
402.6 IPS |
|
|
Image Classification (HP)
|
100% |
18103
3.37 KIPS |
|
|
Image Classification (Q)
|
97% |
22349
4.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2369
38.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
23578
382.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
32892
533.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
17444
20.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
122474
142.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
230106
269.7 IPS |
|
|
Object Detection (SP)
|
100% |
2586
205.1 IPS |
|
|
Object Detection (HP)
|
100% |
20091
1.59 KIPS |
|
|
Object Detection (Q)
|
91% |
23883
1.91 KIPS |
|
|
Face Detection (SP)
|
100% |
5085
60.4 IPS |
|
|
Face Detection (HP)
|
100% |
44645
530.5 IPS |
|
|
Face Detection (Q)
|
100% |
63423
753.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8829
68.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
107423
827.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
173771
1.36 KIPS |
|
|
Style Transfer (SP)
|
100% |
30668
39.4 IPS |
|
|
Style Transfer (HP)
|
100% |
235714
303.0 IPS |
|
|
Style Transfer (Q)
|
96% |
327599
422.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6917
255.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49126
1.81 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77475
2.86 KIPS |
|
|
Text Classification (SP)
|
100% |
3148
4.20 KIPS |
|
|
Text Classification (HP)
|
99% |
5322
7.10 KIPS |
|
|
Text Classification (Q)
|
93% |
5278
7.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
5949
102.5 IPS |
|
|
Machine Translation (HP)
|
100% |
15873
273.4 IPS |
|
|
Machine Translation (Q)
|
98% |
16095
278.1 IPS |
