MacBook Pro (14-inch, 2024)
Geekbench AI Score
5128
Single Precision Score
38710
Half Precision Score
53640
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | thnzone6 |
| Upload Date | September 05 2025 09:32 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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 | 4.06 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2021
375.9 IPS |
|
|
Image Classification (HP)
|
100% |
18095
3.37 KIPS |
|
|
Image Classification (Q)
|
97% |
23898
4.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2234
36.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
23395
379.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
33637
545.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
16214
18.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
124229
145.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
234034
274.3 IPS |
|
|
Object Detection (SP)
|
100% |
2421
192.1 IPS |
|
|
Object Detection (HP)
|
100% |
21277
1.69 KIPS |
|
|
Object Detection (Q)
|
91% |
27435
2.19 KIPS |
|
|
Face Detection (SP)
|
100% |
3918
46.6 IPS |
|
|
Face Detection (HP)
|
100% |
44170
524.8 IPS |
|
|
Face Detection (Q)
|
100% |
70176
833.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8210
63.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
112392
865.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
187657
1.47 KIPS |
|
|
Style Transfer (SP)
|
100% |
23800
30.6 IPS |
|
|
Style Transfer (HP)
|
100% |
237686
305.5 IPS |
|
|
Style Transfer (Q)
|
96% |
306679
395.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5881
217.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49157
1.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82176
3.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2911
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
6731
8.98 KIPS |
|
|
Text Classification (Q)
|
93% |
6489
8.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
5415
93.3 IPS |
|
|
Machine Translation (HP)
|
100% |
17297
297.9 IPS |
|
|
Machine Translation (Q)
|
98% |
17742
306.6 IPS |
