MacBook Pro (16-inch, 2024)
Geekbench AI Score
15444
Single Precision Score
16935
Half Precision Score
15032
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | ntompson |
| Upload Date | December 16 2024 11:22 PM |
| Views | 6 |
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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7828
1.46 KIPS |
|
|
Image Classification (HP)
|
100% |
7970
1.48 KIPS |
|
|
Image Classification (Q)
|
97% |
6854
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11987
194.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
13019
211.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
13402
217.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
56921
66.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
59125
69.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
55967
65.6 IPS |
|
|
Object Detection (SP)
|
100% |
7196
570.8 IPS |
|
|
Object Detection (HP)
|
100% |
7673
608.6 IPS |
|
|
Object Detection (Q)
|
91% |
6451
515.5 IPS |
|
|
Face Detection (SP)
|
100% |
25566
303.8 IPS |
|
|
Face Detection (HP)
|
100% |
28571
339.5 IPS |
|
|
Face Detection (Q)
|
100% |
21073
250.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
33336
256.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
35765
275.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
29924
233.9 IPS |
|
|
Style Transfer (SP)
|
100% |
123909
159.3 IPS |
|
|
Style Transfer (HP)
|
100% |
134937
173.5 IPS |
|
|
Style Transfer (Q)
|
96% |
127620
164.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22785
841.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24307
897.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19610
724.1 IPS |
|
|
Text Classification (SP)
|
100% |
2945
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5290
7.06 KIPS |
|
|
Text Classification (Q)
|
93% |
5203
6.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
2836
48.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2325
40.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2164
37.4 IPS |
