MacBook Pro (16-inch, 2024)
Geekbench AI Score
5971
Single Precision Score
9206
Half Precision Score
7044
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | MattKir |
| Upload Date | December 12 2024 09:08 PM |
| Views | 11 |
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, 16 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2131
396.3 IPS |
|
|
Image Classification (HP)
|
100% |
3069
570.8 IPS |
|
|
Image Classification (Q)
|
96% |
2205
411.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2604
42.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3609
58.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4008
65.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
19189
22.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
32728
38.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
24783
29.0 IPS |
|
|
Object Detection (SP)
|
100% |
2583
204.9 IPS |
|
|
Object Detection (HP)
|
97% |
3896
310.2 IPS |
|
|
Object Detection (Q)
|
94% |
2704
215.5 IPS |
|
|
Face Detection (SP)
|
100% |
4730
56.2 IPS |
|
|
Face Detection (HP)
|
100% |
8221
97.7 IPS |
|
|
Face Detection (Q)
|
100% |
4720
56.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9070
69.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14956
115.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10441
81.5 IPS |
|
|
Style Transfer (SP)
|
100% |
37260
47.9 IPS |
|
|
Style Transfer (HP)
|
100% |
53723
69.1 IPS |
|
|
Style Transfer (Q)
|
96% |
39738
51.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7243
267.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9727
359.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5427
200.4 IPS |
|
|
Text Classification (SP)
|
100% |
2953
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5345
7.13 KIPS |
|
|
Text Classification (Q)
|
93% |
5314
7.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
6136
105.7 IPS |
|
|
Machine Translation (HP)
|
98% |
9023
155.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9002
155.6 IPS |
