MacBook Pro (14-inch, 2024)
Geekbench AI Score
15408
Single Precision Score
17272
Half Precision Score
15485
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | nekeino |
| Upload Date | February 02 2025 05:46 AM |
| Views | 19 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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 | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7581
1.41 KIPS |
|
|
Image Classification (HP)
|
100% |
8060
1.50 KIPS |
|
|
Image Classification (Q)
|
97% |
6835
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12070
195.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
12921
209.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
13346
216.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
56782
66.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
59132
69.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
55891
65.5 IPS |
|
|
Object Detection (SP)
|
100% |
7160
567.9 IPS |
|
|
Object Detection (HP)
|
100% |
7651
606.9 IPS |
|
|
Object Detection (Q)
|
91% |
6457
516.0 IPS |
|
|
Face Detection (SP)
|
100% |
25877
307.5 IPS |
|
|
Face Detection (HP)
|
100% |
28128
334.2 IPS |
|
|
Face Detection (Q)
|
100% |
21074
250.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
33195
255.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
35962
277.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
29597
231.3 IPS |
|
|
Style Transfer (SP)
|
100% |
123756
159.1 IPS |
|
|
Style Transfer (HP)
|
100% |
134804
173.3 IPS |
|
|
Style Transfer (Q)
|
96% |
127302
164.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22911
846.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24093
889.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19948
736.6 IPS |
|
|
Text Classification (SP)
|
100% |
2928
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5201
6.94 KIPS |
|
|
Text Classification (Q)
|
93% |
5178
6.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
2843
49.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2935
50.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2937
50.8 IPS |
