MacBook Pro (16-inch, 2024)
Geekbench AI Score
15425
Single Precision Score
17328
Half Precision Score
15343
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | abelim |
| Upload Date | January 06 2025 11:28 PM |
| Views | 3 |
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 (16-inch, 2024) |
| Model ID | Mac16,7 |
| Motherboard | Mac16,7 |
| 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% |
7624
1.42 KIPS |
|
|
Image Classification (HP)
|
100% |
7974
1.48 KIPS |
|
|
Image Classification (Q)
|
97% |
6811
1.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11985
194.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
12947
209.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
13321
215.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
56750
66.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
59678
69.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
55872
65.5 IPS |
|
|
Object Detection (SP)
|
100% |
7196
570.8 IPS |
|
|
Object Detection (HP)
|
100% |
7708
611.4 IPS |
|
|
Object Detection (Q)
|
91% |
6440
514.6 IPS |
|
|
Face Detection (SP)
|
100% |
25855
307.2 IPS |
|
|
Face Detection (HP)
|
100% |
27825
330.6 IPS |
|
|
Face Detection (Q)
|
100% |
21488
255.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
33546
258.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
36078
278.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
29607
231.4 IPS |
|
|
Style Transfer (SP)
|
100% |
124175
159.6 IPS |
|
|
Style Transfer (HP)
|
100% |
134903
173.4 IPS |
|
|
Style Transfer (Q)
|
96% |
127354
164.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22774
840.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24856
917.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19038
703.0 IPS |
|
|
Text Classification (SP)
|
100% |
2926
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5183
6.92 KIPS |
|
|
Text Classification (Q)
|
93% |
5155
6.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
2848
49.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2947
50.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2786
48.1 IPS |
