MacBook Pro (16-inch, 2024)
Geekbench AI Score
21851
Single Precision Score
24696
Half Precision Score
22941
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | kalimarel |
| Upload Date | November 18 2025 09:50 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C5048a) |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9422
1.75 KIPS |
|
|
Image Classification (HP)
|
100% |
9802
1.82 KIPS |
|
|
Image Classification (Q)
|
96% |
9083
1.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23298
377.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
24453
396.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
22788
369.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
101671
118.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
111149
129.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
106097
124.3 IPS |
|
|
Object Detection (SP)
|
100% |
8928
708.1 IPS |
|
|
Object Detection (HP)
|
100% |
9628
763.7 IPS |
|
|
Object Detection (Q)
|
92% |
9030
720.8 IPS |
|
|
Face Detection (SP)
|
100% |
39612
470.7 IPS |
|
|
Face Detection (HP)
|
100% |
43493
516.8 IPS |
|
|
Face Detection (Q)
|
100% |
35660
423.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
43584
335.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
47233
363.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
42792
334.2 IPS |
|
|
Style Transfer (SP)
|
100% |
219117
281.7 IPS |
|
|
Style Transfer (HP)
|
100% |
233860
300.6 IPS |
|
|
Style Transfer (Q)
|
96% |
225612
291.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28726
1.06 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
29318
1.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25353
936.2 IPS |
|
|
Text Classification (SP)
|
100% |
3160
4.22 KIPS |
|
|
Text Classification (HP)
|
99% |
5365
7.16 KIPS |
|
|
Text Classification (Q)
|
93% |
5288
7.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
3628
62.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4354
75.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4413
76.3 IPS |
