MacBook Pro (16-inch, 2024)
Geekbench AI Score
23624
Single Precision Score
26494
Half Precision Score
24520
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| Upload Date | February 10 2026 06:19 PM |
| Views | 5 |
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, 16 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10473
1.95 KIPS |
|
|
Image Classification (HP)
|
100% |
10633
1.98 KIPS |
|
|
Image Classification (Q)
|
96% |
9419
1.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23419
379.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
24105
390.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
23495
380.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
101712
118.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
111723
130.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
106496
124.7 IPS |
|
|
Object Detection (SP)
|
100% |
9218
731.2 IPS |
|
|
Object Detection (HP)
|
100% |
10157
805.6 IPS |
|
|
Object Detection (Q)
|
92% |
9570
763.9 IPS |
|
|
Face Detection (SP)
|
100% |
39488
469.2 IPS |
|
|
Face Detection (HP)
|
100% |
44656
530.6 IPS |
|
|
Face Detection (Q)
|
100% |
36716
436.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
44874
345.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
48252
371.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
43104
336.7 IPS |
|
|
Style Transfer (SP)
|
100% |
217479
279.6 IPS |
|
|
Style Transfer (HP)
|
100% |
236213
303.7 IPS |
|
|
Style Transfer (Q)
|
96% |
228353
294.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29225
1.08 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
30603
1.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26318
971.8 IPS |
|
|
Text Classification (SP)
|
100% |
3241
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
5709
7.62 KIPS |
|
|
Text Classification (Q)
|
93% |
5566
7.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
6451
111.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6589
113.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6582
113.8 IPS |
