MacBook Pro (16-inch, 2024)
Geekbench AI Score
6022
Single Precision Score
9515
Half Precision Score
7301
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| Upload Date | February 10 2026 06:16 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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% |
2197
408.6 IPS |
|
|
Image Classification (HP)
|
100% |
2989
555.8 IPS |
|
|
Image Classification (Q)
|
96% |
2201
411.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2406
39.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3518
57.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4002
64.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
18386
21.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
34837
40.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
27212
31.9 IPS |
|
|
Object Detection (SP)
|
100% |
2728
216.4 IPS |
|
|
Object Detection (HP)
|
97% |
3967
315.8 IPS |
|
|
Object Detection (Q)
|
94% |
2809
223.9 IPS |
|
|
Face Detection (SP)
|
100% |
5349
63.6 IPS |
|
|
Face Detection (HP)
|
100% |
8782
104.3 IPS |
|
|
Face Detection (Q)
|
100% |
4889
58.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9050
69.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
15215
117.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9797
76.5 IPS |
|
|
Style Transfer (SP)
|
100% |
31766
40.8 IPS |
|
|
Style Transfer (HP)
|
100% |
58218
74.8 IPS |
|
|
Style Transfer (Q)
|
96% |
43902
56.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7159
264.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9659
356.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5497
203.0 IPS |
|
|
Text Classification (SP)
|
100% |
3225
4.30 KIPS |
|
|
Text Classification (HP)
|
99% |
5629
7.51 KIPS |
|
|
Text Classification (Q)
|
93% |
5573
7.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
6665
114.8 IPS |
|
|
Machine Translation (HP)
|
98% |
9897
171.0 IPS |
|
|
Machine Translation (Q)
|
98% |
9928
171.6 IPS |
