MacBook Pro (16-inch, 2024)
Geekbench AI Score
5877
Single Precision Score
9036
Half Precision Score
6983
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | XyMoX |
| Upload Date | January 14 2025 09:48 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | MacBook Pro (16-inch, 2024) |
| Model ID | Mac16,5 |
| Motherboard | Mac16,5 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2099
390.4 IPS |
|
|
Image Classification (HP)
|
100% |
3069
570.8 IPS |
|
|
Image Classification (Q)
|
96% |
2192
409.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2532
41.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3586
58.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3943
63.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
19130
22.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
31780
37.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
24495
28.7 IPS |
|
|
Object Detection (SP)
|
100% |
2547
202.0 IPS |
|
|
Object Detection (HP)
|
97% |
3848
306.3 IPS |
|
|
Object Detection (Q)
|
94% |
2678
213.5 IPS |
|
|
Face Detection (SP)
|
100% |
4684
55.7 IPS |
|
|
Face Detection (HP)
|
100% |
7905
93.9 IPS |
|
|
Face Detection (Q)
|
100% |
4620
54.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8838
68.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14798
114.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10158
79.3 IPS |
|
|
Style Transfer (SP)
|
100% |
36060
46.4 IPS |
|
|
Style Transfer (HP)
|
100% |
50212
64.5 IPS |
|
|
Style Transfer (Q)
|
96% |
39812
51.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7126
263.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9635
355.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5501
203.1 IPS |
|
|
Text Classification (SP)
|
100% |
2956
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5311
7.09 KIPS |
|
|
Text Classification (Q)
|
93% |
5272
7.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
6044
104.1 IPS |
|
|
Machine Translation (HP)
|
98% |
8972
155.0 IPS |
|
|
Machine Translation (Q)
|
98% |
8976
155.1 IPS |
