MacBook Pro (16-inch, 2024)
Geekbench AI Score
23588
Single Precision Score
26335
Half Precision Score
24753
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 06 2025 07:53 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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 | 4.51 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10313
1.92 KIPS |
|
|
Image Classification (HP)
|
100% |
10424
1.94 KIPS |
|
|
Image Classification (Q)
|
96% |
9848
1.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23379
379.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
24015
389.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
23223
376.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
101759
118.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
111091
129.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
106508
124.8 IPS |
|
|
Object Detection (SP)
|
100% |
9039
717.0 IPS |
|
|
Object Detection (HP)
|
100% |
10047
797.0 IPS |
|
|
Object Detection (Q)
|
92% |
9334
745.0 IPS |
|
|
Face Detection (SP)
|
100% |
39454
468.8 IPS |
|
|
Face Detection (HP)
|
100% |
43265
514.1 IPS |
|
|
Face Detection (Q)
|
100% |
37516
445.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
44554
343.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
47921
369.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
43688
341.2 IPS |
|
|
Style Transfer (SP)
|
100% |
217829
280.0 IPS |
|
|
Style Transfer (HP)
|
100% |
236694
304.3 IPS |
|
|
Style Transfer (Q)
|
96% |
229808
296.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29536
1.09 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
30789
1.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26355
973.2 IPS |
|
|
Text Classification (SP)
|
100% |
3253
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
5606
7.48 KIPS |
|
|
Text Classification (Q)
|
93% |
5650
7.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
6538
112.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6780
116.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6772
117.0 IPS |
