MacBook Pro (14-inch, 2024)
Geekbench AI Score
4731
Single Precision Score
36463
Half Precision Score
51458
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | nisizaka |
| Upload Date | March 31 2025 01:37 AM |
| Views | 4 |
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% |
2011
374.0 IPS |
|
|
Image Classification (HP)
|
100% |
18043
3.36 KIPS |
|
|
Image Classification (Q)
|
97% |
25076
4.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2180
35.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
21145
342.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
30038
486.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10051
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123256
143.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
232831
272.9 IPS |
|
|
Object Detection (SP)
|
100% |
2278
180.7 IPS |
|
|
Object Detection (HP)
|
100% |
18584
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
26033
2.08 KIPS |
|
|
Face Detection (SP)
|
100% |
3908
46.4 IPS |
|
|
Face Detection (HP)
|
100% |
43136
512.5 IPS |
|
|
Face Detection (Q)
|
100% |
61442
730.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8310
64.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
99855
769.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
170540
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
25311
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
231524
297.6 IPS |
|
|
Style Transfer (Q)
|
96% |
298802
385.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5878
217.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49352
1.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83641
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
2955
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5975
7.98 KIPS |
|
|
Text Classification (Q)
|
93% |
6064
8.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
3924
67.6 IPS |
|
|
Machine Translation (HP)
|
100% |
16169
278.5 IPS |
|
|
Machine Translation (Q)
|
98% |
17957
310.3 IPS |
