MacBook Pro (16-inch, 2024)
Geekbench AI Score
5973
Single Precision Score
9203
Half Precision Score
7058
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | iBob |
| Upload Date | January 28 2025 04:32 PM |
| Views | 6 |
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 | 4.50 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2139
397.8 IPS |
|
|
Image Classification (HP)
|
100% |
3084
573.6 IPS |
|
|
Image Classification (Q)
|
96% |
2204
411.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2541
41.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3681
59.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3955
64.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
19197
22.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
32437
37.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
25019
29.3 IPS |
|
|
Object Detection (SP)
|
100% |
2590
205.5 IPS |
|
|
Object Detection (HP)
|
97% |
3876
308.6 IPS |
|
|
Object Detection (Q)
|
94% |
2699
215.1 IPS |
|
|
Face Detection (SP)
|
100% |
4784
56.9 IPS |
|
|
Face Detection (HP)
|
100% |
8272
98.3 IPS |
|
|
Face Detection (Q)
|
100% |
4721
56.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9173
70.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14791
114.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10423
81.4 IPS |
|
|
Style Transfer (SP)
|
100% |
36787
47.3 IPS |
|
|
Style Transfer (HP)
|
100% |
52241
67.2 IPS |
|
|
Style Transfer (Q)
|
96% |
39983
51.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7238
267.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9728
359.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5482
202.4 IPS |
|
|
Text Classification (SP)
|
100% |
2975
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5410
7.22 KIPS |
|
|
Text Classification (Q)
|
93% |
5322
7.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
6160
106.1 IPS |
|
|
Machine Translation (HP)
|
98% |
9081
156.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9080
156.9 IPS |
