MacBook Pro (14-inch, 2024)
Geekbench AI Score
5399
Single Precision Score
36519
Half Precision Score
49157
Quantized Score
Geekbench AI 1.3.0 Corporate for macOS AArch64
Result Information
| Upload Date | June 20 2025 08:45 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.6 (Build 24G5054d) |
| 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 | 4.51 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2053
381.9 IPS |
|
|
Image Classification (HP)
|
100% |
18312
3.41 KIPS |
|
|
Image Classification (Q)
|
97% |
23899
4.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2364
38.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
23199
376.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
30859
500.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
17283
20.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
122656
143.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
229943
269.5 IPS |
|
|
Object Detection (SP)
|
100% |
2471
196.0 IPS |
|
|
Object Detection (HP)
|
100% |
19270
1.53 KIPS |
|
|
Object Detection (Q)
|
91% |
24456
1.95 KIPS |
|
|
Face Detection (SP)
|
100% |
4743
56.4 IPS |
|
|
Face Detection (HP)
|
100% |
42992
510.8 IPS |
|
|
Face Detection (Q)
|
100% |
57259
680.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8667
66.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
111887
862.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
175438
1.37 KIPS |
|
|
Style Transfer (SP)
|
100% |
25924
33.3 IPS |
|
|
Style Transfer (HP)
|
100% |
237837
305.7 IPS |
|
|
Style Transfer (Q)
|
96% |
296921
383.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5956
219.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46104
1.70 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
76541
2.83 KIPS |
|
|
Text Classification (SP)
|
100% |
2810
3.75 KIPS |
|
|
Text Classification (HP)
|
100% |
4995
6.67 KIPS |
|
|
Text Classification (Q)
|
93% |
5495
7.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
5702
98.2 IPS |
|
|
Machine Translation (HP)
|
100% |
15948
274.7 IPS |
|
|
Machine Translation (Q)
|
98% |
15836
273.7 IPS |
