MacBook Pro (16-inch, 2024)
Geekbench AI Score
10911
Single Precision Score
12247
Half Precision Score
10634
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 27 2024 10:33 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B2091) |
| 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 | 4.49 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7649
1.42 KIPS |
|
|
Image Classification (HP)
|
100% |
8179
1.52 KIPS |
|
|
Image Classification (Q)
|
97% |
7017
1.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12196
197.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
13356
216.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10908
176.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
55274
64.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
57622
67.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
54502
63.9 IPS |
|
|
Object Detection (SP)
|
100% |
4446
352.7 IPS |
|
|
Object Detection (HP)
|
100% |
4692
372.2 IPS |
|
|
Object Detection (Q)
|
91% |
4510
360.4 IPS |
|
|
Face Detection (SP)
|
100% |
14916
177.2 IPS |
|
|
Face Detection (HP)
|
100% |
17247
204.9 IPS |
|
|
Face Detection (Q)
|
100% |
15566
185.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
30537
235.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
33250
256.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
27031
211.3 IPS |
|
|
Style Transfer (SP)
|
100% |
117385
150.9 IPS |
|
|
Style Transfer (HP)
|
100% |
136008
174.8 IPS |
|
|
Style Transfer (Q)
|
96% |
119986
154.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17465
644.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16728
617.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12218
451.2 IPS |
|
|
Text Classification (SP)
|
100% |
813
1.09 KIPS |
|
|
Text Classification (HP)
|
100% |
1492
1.99 KIPS |
|
|
Text Classification (Q)
|
93% |
1591
2.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
1374
23.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1321
22.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1002
17.3 IPS |
