MacBook Pro (16-inch, 2024)
Geekbench AI Score
5575
Single Precision Score
36805
Half Precision Score
49379
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | July 15 2025 08:56 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2138
397.6 IPS |
|
|
Image Classification (HP)
|
100% |
18392
3.42 KIPS |
|
|
Image Classification (Q)
|
97% |
22473
4.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2320
37.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
22690
367.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
31440
509.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
17851
20.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
122466
142.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
228252
267.5 IPS |
|
|
Object Detection (SP)
|
100% |
2622
208.0 IPS |
|
|
Object Detection (HP)
|
100% |
19101
1.52 KIPS |
|
|
Object Detection (Q)
|
91% |
22932
1.83 KIPS |
|
|
Face Detection (SP)
|
100% |
4880
58.0 IPS |
|
|
Face Detection (HP)
|
100% |
43774
520.1 IPS |
|
|
Face Detection (Q)
|
100% |
65240
775.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8840
68.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
109354
842.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
175206
1.37 KIPS |
|
|
Style Transfer (SP)
|
100% |
26298
33.8 IPS |
|
|
Style Transfer (HP)
|
100% |
232871
299.4 IPS |
|
|
Style Transfer (Q)
|
96% |
296602
382.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6079
224.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45393
1.68 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77809
2.87 KIPS |
|
|
Text Classification (SP)
|
100% |
2927
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5428
7.25 KIPS |
|
|
Text Classification (Q)
|
93% |
5453
7.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
6189
106.6 IPS |
|
|
Machine Translation (HP)
|
100% |
17012
293.0 IPS |
|
|
Machine Translation (Q)
|
98% |
16203
280.0 IPS |
