MacBook Pro (14-inch, 2024)
Geekbench AI Score
13601
Single Precision Score
15102
Half Precision Score
13519
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | JTechEV22 |
| Upload Date | January 03 2025 05:15 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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, 12 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6882
1.28 KIPS |
|
|
Image Classification (HP)
|
100% |
7293
1.36 KIPS |
|
|
Image Classification (Q)
|
97% |
6245
1.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10608
172.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
11154
180.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
11319
183.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
46278
54.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
48257
56.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
45742
53.6 IPS |
|
|
Object Detection (SP)
|
100% |
6715
532.7 IPS |
|
|
Object Detection (HP)
|
100% |
7277
577.2 IPS |
|
|
Object Detection (Q)
|
91% |
6001
479.5 IPS |
|
|
Face Detection (SP)
|
100% |
23468
278.9 IPS |
|
|
Face Detection (HP)
|
100% |
24053
285.8 IPS |
|
|
Face Detection (Q)
|
100% |
18680
222.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
30945
238.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
33164
255.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
27635
216.0 IPS |
|
|
Style Transfer (SP)
|
100% |
104905
134.9 IPS |
|
|
Style Transfer (HP)
|
100% |
112483
144.6 IPS |
|
|
Style Transfer (Q)
|
96% |
107099
138.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16453
607.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17175
634.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13756
507.9 IPS |
|
|
Text Classification (SP)
|
100% |
2925
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5130
6.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5286
7.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
2605
44.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2734
47.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2616
45.2 IPS |
