MacBook Pro (14-inch, 2024)
Geekbench AI Score
5589
Single Precision Score
9238
Half Precision Score
7146
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | suvash |
| Upload Date | April 23 2025 11:13 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| Model | MacBook Pro (14-inch, 2024) |
| Model ID | Mac16,6 |
| Motherboard | Mac16,6 |
| 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% |
2134
396.9 IPS |
|
|
Image Classification (HP)
|
100% |
3101
576.7 IPS |
|
|
Image Classification (Q)
|
96% |
2219
414.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2387
38.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3526
57.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3950
64.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
18033
21.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
33049
38.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
25203
29.5 IPS |
|
|
Object Detection (SP)
|
100% |
2624
208.2 IPS |
|
|
Object Detection (HP)
|
97% |
3790
301.7 IPS |
|
|
Object Detection (Q)
|
94% |
2700
215.2 IPS |
|
|
Face Detection (SP)
|
100% |
4850
57.6 IPS |
|
|
Face Detection (HP)
|
100% |
8052
95.7 IPS |
|
|
Face Detection (Q)
|
100% |
4645
55.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8852
68.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14759
114.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10216
79.7 IPS |
|
|
Style Transfer (SP)
|
100% |
25986
33.4 IPS |
|
|
Style Transfer (HP)
|
100% |
53715
69.1 IPS |
|
|
Style Transfer (Q)
|
96% |
40719
52.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6082
224.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10177
375.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6074
224.3 IPS |
|
|
Text Classification (SP)
|
100% |
2954
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5474
7.31 KIPS |
|
|
Text Classification (Q)
|
93% |
5314
7.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
6162
106.1 IPS |
|
|
Machine Translation (HP)
|
98% |
9299
160.7 IPS |
|
|
Machine Translation (Q)
|
98% |
9345
161.5 IPS |
