MacBook Pro (16-inch, 2024)
Geekbench AI Score
5922
Single Precision Score
36618
Half Precision Score
49513
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | December 08 2025 06:45 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2191
407.4 IPS |
|
|
Image Classification (HP)
|
100% |
16814
3.13 KIPS |
|
|
Image Classification (Q)
|
97% |
21416
4.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2402
38.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
22987
372.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
31993
518.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
17247
20.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
122789
143.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
233711
273.9 IPS |
|
|
Object Detection (SP)
|
100% |
2674
212.1 IPS |
|
|
Object Detection (HP)
|
100% |
19695
1.56 KIPS |
|
|
Object Detection (Q)
|
91% |
23571
1.88 KIPS |
|
|
Face Detection (SP)
|
100% |
5268
62.6 IPS |
|
|
Face Detection (HP)
|
100% |
44023
523.1 IPS |
|
|
Face Detection (Q)
|
100% |
62412
741.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9027
69.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
108609
836.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
175356
1.37 KIPS |
|
|
Style Transfer (SP)
|
100% |
31098
40.0 IPS |
|
|
Style Transfer (HP)
|
100% |
231799
298.0 IPS |
|
|
Style Transfer (Q)
|
96% |
319383
412.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7053
260.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47580
1.76 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77145
2.85 KIPS |
|
|
Text Classification (SP)
|
100% |
3225
4.31 KIPS |
|
|
Text Classification (HP)
|
99% |
5576
7.44 KIPS |
|
|
Text Classification (Q)
|
93% |
5486
7.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
6504
112.0 IPS |
|
|
Machine Translation (HP)
|
100% |
15773
271.7 IPS |
|
|
Machine Translation (Q)
|
98% |
15861
274.1 IPS |
