MacBook Pro (16-inch, 2024)
Geekbench AI Score
5869
Single Precision Score
9132
Half Precision Score
7034
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | petergraening |
| Upload Date | January 17 2025 04:38 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, 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% |
2118
393.8 IPS |
|
|
Image Classification (HP)
|
100% |
3076
572.0 IPS |
|
|
Image Classification (Q)
|
96% |
2189
408.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2540
41.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3696
59.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3983
64.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
19117
22.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
32417
37.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
24914
29.2 IPS |
|
|
Object Detection (SP)
|
100% |
2487
197.3 IPS |
|
|
Object Detection (HP)
|
97% |
3896
310.1 IPS |
|
|
Object Detection (Q)
|
94% |
2692
214.6 IPS |
|
|
Face Detection (SP)
|
100% |
4631
55.0 IPS |
|
|
Face Detection (HP)
|
100% |
7952
94.5 IPS |
|
|
Face Detection (Q)
|
100% |
4665
55.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8920
68.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14612
113.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10433
81.4 IPS |
|
|
Style Transfer (SP)
|
100% |
36920
47.5 IPS |
|
|
Style Transfer (HP)
|
100% |
51197
65.8 IPS |
|
|
Style Transfer (Q)
|
96% |
40150
51.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7174
264.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9789
361.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5418
200.1 IPS |
|
|
Text Classification (SP)
|
100% |
2971
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5410
7.22 KIPS |
|
|
Text Classification (Q)
|
93% |
5390
7.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
5836
100.5 IPS |
|
|
Machine Translation (HP)
|
98% |
8920
154.1 IPS |
|
|
Machine Translation (Q)
|
98% |
8891
153.6 IPS |
