MacBook Pro (14-inch, 2024)
Geekbench AI Score
5352
Single Precision Score
38607
Half Precision Score
52242
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | basically_angel |
| Upload Date | May 30 2025 01:03 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 4.32 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2049
381.1 IPS |
|
|
Image Classification (HP)
|
100% |
18915
3.52 KIPS |
|
|
Image Classification (Q)
|
97% |
24033
4.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2294
37.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
24082
390.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
33673
545.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
17005
19.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
124174
144.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
232781
272.8 IPS |
|
|
Object Detection (SP)
|
100% |
2416
191.6 IPS |
|
|
Object Detection (HP)
|
100% |
20790
1.65 KIPS |
|
|
Object Detection (Q)
|
91% |
24817
1.98 KIPS |
|
|
Face Detection (SP)
|
100% |
4665
55.4 IPS |
|
|
Face Detection (HP)
|
100% |
46557
553.2 IPS |
|
|
Face Detection (Q)
|
100% |
66685
792.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8534
65.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
113413
873.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
181883
1.42 KIPS |
|
|
Style Transfer (SP)
|
100% |
25531
32.8 IPS |
|
|
Style Transfer (HP)
|
100% |
237024
304.7 IPS |
|
|
Style Transfer (Q)
|
96% |
309429
399.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5896
217.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46756
1.73 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83457
3.08 KIPS |
|
|
Text Classification (SP)
|
100% |
2891
3.86 KIPS |
|
|
Text Classification (HP)
|
100% |
6119
8.17 KIPS |
|
|
Text Classification (Q)
|
93% |
5878
7.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
5772
99.4 IPS |
|
|
Machine Translation (HP)
|
100% |
17474
301.0 IPS |
|
|
Machine Translation (Q)
|
98% |
17596
304.1 IPS |
