MacBook Pro (16-inch, 2024)
Geekbench AI Score
5967
Single Precision Score
9243
Half Precision Score
7075
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | ChrisCalderon |
| Upload Date | January 13 2025 10:11 AM |
| Views | 1 |
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% |
2146
399.0 IPS |
|
|
Image Classification (HP)
|
100% |
3084
573.4 IPS |
|
|
Image Classification (Q)
|
96% |
2212
413.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2521
40.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3597
58.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3950
64.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
19299
22.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
32377
37.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
24559
28.8 IPS |
|
|
Object Detection (SP)
|
100% |
2575
204.2 IPS |
|
|
Object Detection (HP)
|
97% |
3876
308.6 IPS |
|
|
Object Detection (Q)
|
94% |
2707
215.8 IPS |
|
|
Face Detection (SP)
|
100% |
4734
56.2 IPS |
|
|
Face Detection (HP)
|
100% |
8183
97.2 IPS |
|
|
Face Detection (Q)
|
100% |
4761
56.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9030
69.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14977
115.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10466
81.7 IPS |
|
|
Style Transfer (SP)
|
100% |
36728
47.2 IPS |
|
|
Style Transfer (HP)
|
100% |
53559
68.9 IPS |
|
|
Style Transfer (Q)
|
96% |
39887
51.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7289
269.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9817
362.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5427
200.4 IPS |
|
|
Text Classification (SP)
|
100% |
2990
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
5437
7.26 KIPS |
|
|
Text Classification (Q)
|
93% |
5406
7.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
6225
107.2 IPS |
|
|
Machine Translation (HP)
|
98% |
9336
161.3 IPS |
|
|
Machine Translation (Q)
|
98% |
9283
160.4 IPS |
