MacBook Pro (16-inch, 2024)
Geekbench AI Score
20573
Single Precision Score
22877
Half Precision Score
21372
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | vitaleve |
| Upload Date | February 13 2026 07:56 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9291
1.73 KIPS |
|
|
Image Classification (HP)
|
100% |
9891
1.84 KIPS |
|
|
Image Classification (Q)
|
96% |
8823
1.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19895
322.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
20760
336.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
20250
328.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
75236
87.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
85906
100.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
83007
97.2 IPS |
|
|
Object Detection (SP)
|
100% |
8472
672.0 IPS |
|
|
Object Detection (HP)
|
100% |
8774
695.9 IPS |
|
|
Object Detection (Q)
|
92% |
8109
647.3 IPS |
|
|
Face Detection (SP)
|
100% |
33038
392.6 IPS |
|
|
Face Detection (HP)
|
100% |
36462
433.2 IPS |
|
|
Face Detection (Q)
|
100% |
30134
358.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
40842
314.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
43527
335.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
38847
303.4 IPS |
|
|
Style Transfer (SP)
|
100% |
179471
230.7 IPS |
|
|
Style Transfer (HP)
|
100% |
198194
254.8 IPS |
|
|
Style Transfer (Q)
|
96% |
193792
250.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25326
935.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25959
958.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22422
827.9 IPS |
|
|
Text Classification (SP)
|
100% |
3238
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
5604
7.48 KIPS |
|
|
Text Classification (Q)
|
93% |
5649
7.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
5806
100.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5545
95.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5754
99.4 IPS |
