MacBook Pro (14-inch, 2024)
Geekbench AI Score
5355
Single Precision Score
37357
Half Precision Score
50843
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | vladislavbler |
| Upload Date | July 21 2025 11:14 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2056
382.3 IPS |
|
|
Image Classification (HP)
|
100% |
18675
3.47 KIPS |
|
|
Image Classification (Q)
|
97% |
23201
4.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2317
37.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
23350
378.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
32634
529.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
17075
19.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
122643
143.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
228946
268.3 IPS |
|
|
Object Detection (SP)
|
100% |
2481
196.8 IPS |
|
|
Object Detection (HP)
|
100% |
20256
1.61 KIPS |
|
|
Object Detection (Q)
|
91% |
24352
1.95 KIPS |
|
|
Face Detection (SP)
|
100% |
4585
54.5 IPS |
|
|
Face Detection (HP)
|
100% |
43395
515.6 IPS |
|
|
Face Detection (Q)
|
100% |
67167
798.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8602
66.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
110805
853.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
176661
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
25406
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
237298
305.0 IPS |
|
|
Style Transfer (Q)
|
96% |
306879
396.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5991
221.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47168
1.74 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79546
2.94 KIPS |
|
|
Text Classification (SP)
|
100% |
2915
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
5572
7.44 KIPS |
|
|
Text Classification (Q)
|
93% |
5593
7.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
5500
94.7 IPS |
|
|
Machine Translation (HP)
|
100% |
16295
280.7 IPS |
|
|
Machine Translation (Q)
|
98% |
16882
291.7 IPS |
