MacBook Pro (14-inch, 2024)
Geekbench AI Score
4798
Single Precision Score
36996
Half Precision Score
52197
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | March 11 2026 01:13 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| 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 | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2012
374.2 IPS |
|
|
Image Classification (HP)
|
100% |
18074
3.36 KIPS |
|
|
Image Classification (Q)
|
97% |
25252
4.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2148
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
21939
355.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
29874
484.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9497
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
123034
143.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
231400
271.2 IPS |
|
|
Object Detection (SP)
|
100% |
2320
184.0 IPS |
|
|
Object Detection (HP)
|
100% |
18878
1.50 KIPS |
|
|
Object Detection (Q)
|
91% |
26697
2.13 KIPS |
|
|
Face Detection (SP)
|
100% |
3932
46.7 IPS |
|
|
Face Detection (HP)
|
100% |
43878
521.4 IPS |
|
|
Face Detection (Q)
|
100% |
61638
732.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8134
62.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
99911
769.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
172428
1.35 KIPS |
|
|
Style Transfer (SP)
|
100% |
23973
30.8 IPS |
|
|
Style Transfer (HP)
|
100% |
232960
299.5 IPS |
|
|
Style Transfer (Q)
|
96% |
321824
415.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6019
222.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
53962
1.99 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
88429
3.27 KIPS |
|
|
Text Classification (SP)
|
100% |
3275
4.37 KIPS |
|
|
Text Classification (HP)
|
99% |
5685
7.59 KIPS |
|
|
Text Classification (Q)
|
93% |
5714
7.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
4501
77.5 IPS |
|
|
Machine Translation (HP)
|
100% |
16649
286.8 IPS |
|
|
Machine Translation (Q)
|
98% |
18640
322.1 IPS |
