MacBook Pro (14-inch, 2024)
Geekbench AI Score
4717
Single Precision Score
36453
Half Precision Score
52320
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | xiaoku |
| Upload Date | March 26 2025 11:01 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C103) |
| 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% |
1993
370.6 IPS |
|
|
Image Classification (HP)
|
100% |
17377
3.23 KIPS |
|
|
Image Classification (Q)
|
97% |
24905
4.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2122
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
21064
341.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
30168
489.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10080
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
123397
144.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
232096
272.0 IPS |
|
|
Object Detection (SP)
|
100% |
2254
178.8 IPS |
|
|
Object Detection (HP)
|
100% |
18198
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
26170
2.09 KIPS |
|
|
Face Detection (SP)
|
100% |
3937
46.8 IPS |
|
|
Face Detection (HP)
|
100% |
43824
520.7 IPS |
|
|
Face Detection (Q)
|
100% |
63148
750.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8290
63.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
100355
773.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
168773
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
25147
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
232480
298.9 IPS |
|
|
Style Transfer (Q)
|
96% |
300582
387.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5883
217.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49202
1.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82748
3.06 KIPS |
|
|
Text Classification (SP)
|
100% |
2979
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
6119
8.17 KIPS |
|
|
Text Classification (Q)
|
93% |
7016
9.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3947
68.0 IPS |
|
|
Machine Translation (HP)
|
100% |
16377
282.1 IPS |
|
|
Machine Translation (Q)
|
98% |
18110
313.0 IPS |
