MacBook Pro (16-inch, 2024)
Geekbench AI Score
23633
Single Precision Score
26467
Half Precision Score
24647
Quantized Score
Geekbench AI 1.5.0 Pro for macOS AArch64
Result Information
| User | f180n4cc1 |
| Upload Date | December 16 2025 02:36 PM |
| Views | 10 |
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 | 4.50 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10365
1.93 KIPS |
|
|
Image Classification (HP)
|
100% |
10454
1.94 KIPS |
|
|
Image Classification (Q)
|
96% |
9569
1.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23386
379.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
24365
395.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
23250
376.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
101791
118.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
111066
129.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
106642
124.9 IPS |
|
|
Object Detection (SP)
|
100% |
8866
703.3 IPS |
|
|
Object Detection (HP)
|
100% |
10159
805.8 IPS |
|
|
Object Detection (Q)
|
92% |
9589
765.4 IPS |
|
|
Face Detection (SP)
|
100% |
40422
480.3 IPS |
|
|
Face Detection (HP)
|
100% |
43503
516.9 IPS |
|
|
Face Detection (Q)
|
100% |
35715
424.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
44167
340.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
48329
372.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
43643
340.9 IPS |
|
|
Style Transfer (SP)
|
100% |
218647
281.1 IPS |
|
|
Style Transfer (HP)
|
100% |
235561
302.8 IPS |
|
|
Style Transfer (Q)
|
96% |
228329
294.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30003
1.11 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
31037
1.15 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26114
964.3 IPS |
|
|
Text Classification (SP)
|
100% |
3252
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
5696
7.60 KIPS |
|
|
Text Classification (Q)
|
93% |
5776
7.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
6525
112.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6704
115.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6776
117.1 IPS |
