MacBook Pro (16-inch, 2024)
Geekbench AI Score
5506
Single Precision Score
37294
Half Precision Score
50921
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | dani4477 |
| Upload Date | May 14 2025 01:55 AM |
| Views | 5 |
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, 14 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2124
394.9 IPS |
|
|
Image Classification (HP)
|
100% |
17694
3.29 KIPS |
|
|
Image Classification (Q)
|
97% |
23900
4.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2323
37.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
22912
371.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
33246
538.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
17518
20.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
123381
144.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
231355
271.2 IPS |
|
|
Object Detection (SP)
|
100% |
2565
203.4 IPS |
|
|
Object Detection (HP)
|
100% |
19353
1.54 KIPS |
|
|
Object Detection (Q)
|
91% |
24427
1.95 KIPS |
|
|
Face Detection (SP)
|
100% |
4744
56.4 IPS |
|
|
Face Detection (HP)
|
100% |
45430
539.8 IPS |
|
|
Face Detection (Q)
|
100% |
64415
765.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8778
67.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
108938
839.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
179453
1.40 KIPS |
|
|
Style Transfer (SP)
|
100% |
26735
34.4 IPS |
|
|
Style Transfer (HP)
|
100% |
232008
298.2 IPS |
|
|
Style Transfer (Q)
|
96% |
298713
385.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6053
223.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45708
1.69 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80448
2.97 KIPS |
|
|
Text Classification (SP)
|
100% |
2925
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
6237
8.32 KIPS |
|
|
Text Classification (Q)
|
93% |
5719
7.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
5863
101.0 IPS |
|
|
Machine Translation (HP)
|
100% |
16428
283.0 IPS |
|
|
Machine Translation (Q)
|
98% |
16432
284.0 IPS |
