MacBook Pro (14-inch, 2024)
Geekbench AI Score
21050
Single Precision Score
23656
Half Precision Score
22273
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | Surinder |
| Upload Date | November 18 2025 01:21 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| Model | MacBook Pro (14-inch, 2024) |
| Model ID | Mac16,6 |
| Motherboard | Mac16,6 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9555
1.78 KIPS |
|
|
Image Classification (HP)
|
100% |
10048
1.87 KIPS |
|
|
Image Classification (Q)
|
96% |
8935
1.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19719
319.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
20581
333.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
20289
328.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
77256
90.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
87696
102.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
84461
98.9 IPS |
|
|
Object Detection (SP)
|
100% |
8606
682.6 IPS |
|
|
Object Detection (HP)
|
100% |
9395
745.2 IPS |
|
|
Object Detection (Q)
|
92% |
8927
712.5 IPS |
|
|
Face Detection (SP)
|
100% |
34675
412.0 IPS |
|
|
Face Detection (HP)
|
100% |
37897
450.3 IPS |
|
|
Face Detection (Q)
|
100% |
32532
386.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
42029
323.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
44408
342.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
40117
313.4 IPS |
|
|
Style Transfer (SP)
|
100% |
181366
233.1 IPS |
|
|
Style Transfer (HP)
|
100% |
197346
253.7 IPS |
|
|
Style Transfer (Q)
|
96% |
197301
254.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25582
944.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26433
976.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23156
855.1 IPS |
|
|
Text Classification (SP)
|
100% |
3249
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
5595
7.47 KIPS |
|
|
Text Classification (Q)
|
93% |
5594
7.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
6208
106.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6558
113.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6593
113.9 IPS |
