MacBook Pro (14-inch, 2024)
Geekbench AI Score
5521
Single Precision Score
37607
Half Precision Score
51032
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | cconway |
| Upload Date | October 31 2025 12:07 AM |
| Views | 5 |
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, 12 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.42 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2080
386.8 IPS |
|
|
Image Classification (HP)
|
100% |
18181
3.38 KIPS |
|
|
Image Classification (Q)
|
97% |
22620
4.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2289
37.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
23518
381.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
32977
534.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
16798
19.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
123959
144.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
230885
270.6 IPS |
|
|
Object Detection (SP)
|
100% |
2334
185.1 IPS |
|
|
Object Detection (HP)
|
100% |
20606
1.63 KIPS |
|
|
Object Detection (Q)
|
91% |
25050
2.00 KIPS |
|
|
Face Detection (SP)
|
100% |
4482
53.3 IPS |
|
|
Face Detection (HP)
|
100% |
43530
517.2 IPS |
|
|
Face Detection (Q)
|
100% |
63039
749.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8217
63.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
110753
853.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
179260
1.40 KIPS |
|
|
Style Transfer (SP)
|
100% |
29443
37.8 IPS |
|
|
Style Transfer (HP)
|
100% |
236360
303.8 IPS |
|
|
Style Transfer (Q)
|
96% |
324100
418.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6924
255.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49252
1.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82883
3.06 KIPS |
|
|
Text Classification (SP)
|
100% |
3512
4.69 KIPS |
|
|
Text Classification (HP)
|
99% |
5749
7.67 KIPS |
|
|
Text Classification (Q)
|
93% |
5502
7.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
5348
92.1 IPS |
|
|
Machine Translation (HP)
|
100% |
16057
276.6 IPS |
|
|
Machine Translation (Q)
|
98% |
16626
287.3 IPS |
