MacBook Pro (16-inch, 2024)
Geekbench AI Score
5755
Single Precision Score
8806
Half Precision Score
6839
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | ntompson |
| Upload Date | December 16 2024 11:27 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2071
385.1 IPS |
|
|
Image Classification (HP)
|
100% |
3029
563.3 IPS |
|
|
Image Classification (Q)
|
96% |
2183
407.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2436
39.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3498
56.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3956
64.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
18953
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
30573
35.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
23804
27.9 IPS |
|
|
Object Detection (SP)
|
100% |
2471
196.0 IPS |
|
|
Object Detection (HP)
|
97% |
3822
304.3 IPS |
|
|
Object Detection (Q)
|
94% |
2647
211.0 IPS |
|
|
Face Detection (SP)
|
100% |
4507
53.6 IPS |
|
|
Face Detection (HP)
|
100% |
7775
92.4 IPS |
|
|
Face Detection (Q)
|
100% |
4574
54.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8813
67.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
13988
108.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9935
77.5 IPS |
|
|
Style Transfer (SP)
|
100% |
35762
46.0 IPS |
|
|
Style Transfer (HP)
|
100% |
48195
62.0 IPS |
|
|
Style Transfer (Q)
|
96% |
38178
49.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7003
258.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9552
352.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5271
194.6 IPS |
|
|
Text Classification (SP)
|
100% |
2952
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5222
6.97 KIPS |
|
|
Text Classification (Q)
|
93% |
5209
6.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
5748
99.0 IPS |
|
|
Machine Translation (HP)
|
98% |
8671
149.8 IPS |
|
|
Machine Translation (Q)
|
98% |
8643
149.4 IPS |
