MacBook Pro (14-inch, 2024)
Geekbench AI Score
5794
Single Precision Score
39475
Half Precision Score
54133
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | dd1989 |
| Upload Date | March 14 2026 11:05 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| 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 | 4.51 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2154
400.6 IPS |
|
|
Image Classification (HP)
|
100% |
19741
3.67 KIPS |
|
|
Image Classification (Q)
|
97% |
26941
5.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2387
38.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
23931
387.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
32891
533.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
17428
20.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
123283
143.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
234038
274.3 IPS |
|
|
Object Detection (SP)
|
100% |
2554
202.6 IPS |
|
|
Object Detection (HP)
|
100% |
22598
1.79 KIPS |
|
|
Object Detection (Q)
|
91% |
27734
2.22 KIPS |
|
|
Face Detection (SP)
|
100% |
4936
58.6 IPS |
|
|
Face Detection (HP)
|
100% |
45618
542.0 IPS |
|
|
Face Detection (Q)
|
100% |
65975
783.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8742
67.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
114929
885.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
187744
1.47 KIPS |
|
|
Style Transfer (SP)
|
100% |
30314
39.0 IPS |
|
|
Style Transfer (HP)
|
100% |
239155
307.4 IPS |
|
|
Style Transfer (Q)
|
96% |
331061
427.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7177
265.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52576
1.94 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86458
3.19 KIPS |
|
|
Text Classification (SP)
|
100% |
3328
4.44 KIPS |
|
|
Text Classification (HP)
|
99% |
5662
7.56 KIPS |
|
|
Text Classification (Q)
|
93% |
5617
7.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
5967
102.8 IPS |
|
|
Machine Translation (HP)
|
100% |
18704
322.2 IPS |
|
|
Machine Translation (Q)
|
98% |
18866
326.0 IPS |
