MacBook Pro (16-inch, 2024)
Geekbench AI Score
5931
Single Precision Score
9464
Half Precision Score
7272
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | hadleydb |
| Upload Date | December 31 2025 02:56 AM |
| Views | 6 |
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, 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% |
2196
408.4 IPS |
|
|
Image Classification (HP)
|
100% |
3066
570.2 IPS |
|
|
Image Classification (Q)
|
96% |
2205
411.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2409
39.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3523
57.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3933
63.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
17932
20.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
34284
40.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
27059
31.7 IPS |
|
|
Object Detection (SP)
|
100% |
2668
211.6 IPS |
|
|
Object Detection (HP)
|
97% |
3913
311.5 IPS |
|
|
Object Detection (Q)
|
94% |
2774
221.1 IPS |
|
|
Face Detection (SP)
|
100% |
5248
62.4 IPS |
|
|
Face Detection (HP)
|
100% |
8690
103.3 IPS |
|
|
Face Detection (Q)
|
100% |
4857
57.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8983
69.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
15411
119.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9742
76.0 IPS |
|
|
Style Transfer (SP)
|
100% |
30882
39.7 IPS |
|
|
Style Transfer (HP)
|
100% |
58169
74.8 IPS |
|
|
Style Transfer (Q)
|
96% |
44081
56.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7035
259.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9470
349.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5467
201.9 IPS |
|
|
Text Classification (SP)
|
100% |
3225
4.30 KIPS |
|
|
Text Classification (HP)
|
99% |
5593
7.46 KIPS |
|
|
Text Classification (Q)
|
93% |
5743
7.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
6453
111.2 IPS |
|
|
Machine Translation (HP)
|
98% |
9650
166.7 IPS |
|
|
Machine Translation (Q)
|
98% |
9702
167.7 IPS |
