MacBook Pro (16-inch, 2024)
Geekbench AI Score
6173
Single Precision Score
10002
Half Precision Score
7622
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | celticshade |
| Upload Date | February 25 2026 07:03 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E5218f) |
| 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% |
2175
404.5 IPS |
|
|
Image Classification (HP)
|
100% |
3086
573.9 IPS |
|
|
Image Classification (Q)
|
96% |
2211
412.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2531
41.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3712
60.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3971
64.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
16166
18.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
34639
40.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
26970
31.6 IPS |
|
|
Object Detection (SP)
|
100% |
2804
222.4 IPS |
|
|
Object Detection (HP)
|
97% |
3935
313.3 IPS |
|
|
Object Detection (Q)
|
94% |
2792
222.5 IPS |
|
|
Face Detection (SP)
|
100% |
5546
65.9 IPS |
|
|
Face Detection (HP)
|
100% |
8670
103.0 IPS |
|
|
Face Detection (Q)
|
100% |
4811
57.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9115
70.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
15323
118.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9778
76.3 IPS |
|
|
Style Transfer (SP)
|
100% |
30198
38.8 IPS |
|
|
Style Transfer (HP)
|
100% |
57976
74.5 IPS |
|
|
Style Transfer (Q)
|
96% |
44528
57.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5646
208.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9774
360.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5437
200.8 IPS |
|
|
Text Classification (SP)
|
99% |
5855
7.81 KIPS |
|
|
Text Classification (HP)
|
100% |
8936
11.9 KIPS |
|
|
Text Classification (Q)
|
93% |
9155
12.3 KIPS |
|
|
Machine Translation (SP)
|
100% |
6385
110.0 IPS |
|
|
Machine Translation (HP)
|
98% |
9547
165.0 IPS |
|
|
Machine Translation (Q)
|
98% |
9600
165.9 IPS |
