MacBook Pro (14-inch, 2024)
Geekbench AI Score
4732
Single Precision Score
36371
Half Precision Score
51170
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | bstrunk |
| Upload Date | March 15 2025 04:17 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| Model | MacBook Pro (14-inch, 2024) |
| Model ID | Mac16,1 |
| Motherboard | Mac16,1 |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M4 |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2016
374.9 IPS |
|
|
Image Classification (HP)
|
100% |
17768
3.30 KIPS |
|
|
Image Classification (Q)
|
97% |
23919
4.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2178
35.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
21803
353.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
30053
487.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10057
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123775
144.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
232264
272.2 IPS |
|
|
Object Detection (SP)
|
100% |
2267
179.8 IPS |
|
|
Object Detection (HP)
|
100% |
18199
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
25947
2.07 KIPS |
|
|
Face Detection (SP)
|
100% |
3872
46.0 IPS |
|
|
Face Detection (HP)
|
100% |
42838
509.0 IPS |
|
|
Face Detection (Q)
|
100% |
61048
725.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8287
63.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
99059
763.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
168740
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
25256
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
232432
298.8 IPS |
|
|
Style Transfer (Q)
|
96% |
297109
383.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5861
216.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48712
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84579
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3008
4.02 KIPS |
|
|
Text Classification (HP)
|
100% |
5961
7.96 KIPS |
|
|
Text Classification (Q)
|
93% |
6117
8.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
3942
67.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16210
279.2 IPS |
|
|
Machine Translation (Q)
|
98% |
17942
310.1 IPS |
