MacBook Pro (16-inch, 2024)
Geekbench AI Score
5616
Single Precision Score
9283
Half Precision Score
7166
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | Fritzt |
| Upload Date | February 12 2026 03:46 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.7.4 (Build 24G517) |
| 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 | 4.50 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2129
395.9 IPS |
|
|
Image Classification (HP)
|
100% |
3090
574.6 IPS |
|
|
Image Classification (Q)
|
96% |
2204
411.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2363
38.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3482
56.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3963
64.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
18494
21.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
33047
38.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
25278
29.6 IPS |
|
|
Object Detection (SP)
|
100% |
2636
209.1 IPS |
|
|
Object Detection (HP)
|
97% |
3876
308.6 IPS |
|
|
Object Detection (Q)
|
94% |
2699
215.1 IPS |
|
|
Face Detection (SP)
|
100% |
4976
59.1 IPS |
|
|
Face Detection (HP)
|
100% |
8175
97.1 IPS |
|
|
Face Detection (Q)
|
100% |
4734
56.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8862
68.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
15379
118.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10777
84.1 IPS |
|
|
Style Transfer (SP)
|
100% |
26092
33.5 IPS |
|
|
Style Transfer (HP)
|
100% |
54812
70.5 IPS |
|
|
Style Transfer (Q)
|
96% |
41089
53.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6075
224.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10202
376.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5707
210.7 IPS |
|
|
Text Classification (SP)
|
100% |
2943
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5355
7.15 KIPS |
|
|
Text Classification (Q)
|
93% |
5390
7.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
6186
106.6 IPS |
|
|
Machine Translation (HP)
|
98% |
9161
158.3 IPS |
|
|
Machine Translation (Q)
|
98% |
9304
160.8 IPS |
