MacBook Pro (14-inch, 2024)
Geekbench AI Score
5714
Single Precision Score
36791
Half Precision Score
49282
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | JaDerHey |
| Upload Date | January 21 2025 07:31 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | MacBook Pro (14-inch, 2024) |
| Model ID | Mac16,8 |
| Motherboard | Mac16,8 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2073
385.6 IPS |
|
|
Image Classification (HP)
|
100% |
17763
3.30 KIPS |
|
|
Image Classification (Q)
|
97% |
22868
4.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2454
39.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
23144
375.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
32222
522.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
18750
21.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
123323
143.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
229417
268.9 IPS |
|
|
Object Detection (SP)
|
100% |
2437
193.3 IPS |
|
|
Object Detection (HP)
|
100% |
20097
1.59 KIPS |
|
|
Object Detection (Q)
|
91% |
23733
1.90 KIPS |
|
|
Face Detection (SP)
|
100% |
4467
53.1 IPS |
|
|
Face Detection (HP)
|
100% |
44514
528.9 IPS |
|
|
Face Detection (Q)
|
100% |
54133
643.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8731
67.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
106022
816.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
178620
1.40 KIPS |
|
|
Style Transfer (SP)
|
100% |
35210
45.3 IPS |
|
|
Style Transfer (HP)
|
100% |
239061
307.3 IPS |
|
|
Style Transfer (Q)
|
96% |
302971
391.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6987
258.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46537
1.72 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79357
2.93 KIPS |
|
|
Text Classification (SP)
|
100% |
2942
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5124
6.84 KIPS |
|
|
Text Classification (Q)
|
93% |
5485
7.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
5662
97.5 IPS |
|
|
Machine Translation (HP)
|
100% |
16579
285.6 IPS |
|
|
Machine Translation (Q)
|
98% |
16521
285.5 IPS |
