MacBook Pro (14-inch, 2024)
Geekbench AI Score
5384
Single Precision Score
37017
Half Precision Score
50609
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | CharlesDorer |
| Upload Date | May 25 2025 09:29 PM |
| Views | 7 |
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 | 4.51 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2058
382.8 IPS |
|
|
Image Classification (HP)
|
100% |
17923
3.33 KIPS |
|
|
Image Classification (Q)
|
97% |
22203
4.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2296
37.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
23354
378.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
32429
525.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
17401
20.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
122655
143.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
233664
273.9 IPS |
|
|
Object Detection (SP)
|
100% |
2463
195.4 IPS |
|
|
Object Detection (HP)
|
100% |
19835
1.57 KIPS |
|
|
Object Detection (Q)
|
91% |
25166
2.01 KIPS |
|
|
Face Detection (SP)
|
100% |
4714
56.0 IPS |
|
|
Face Detection (HP)
|
100% |
45308
538.4 IPS |
|
|
Face Detection (Q)
|
100% |
65950
783.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8636
66.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
106034
816.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
181743
1.42 KIPS |
|
|
Style Transfer (SP)
|
100% |
25739
33.1 IPS |
|
|
Style Transfer (HP)
|
100% |
236583
304.1 IPS |
|
|
Style Transfer (Q)
|
96% |
301568
389.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5983
220.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46553
1.72 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78555
2.90 KIPS |
|
|
Text Classification (SP)
|
100% |
2883
3.85 KIPS |
|
|
Text Classification (HP)
|
100% |
5534
7.39 KIPS |
|
|
Text Classification (Q)
|
93% |
5700
7.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
5598
96.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16205
279.1 IPS |
|
|
Machine Translation (Q)
|
98% |
16086
278.0 IPS |
