MacBook Pro (14-inch, 2024)
Geekbench AI Score
5542
Single Precision Score
36645
Half Precision Score
49742
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | AdamOp |
| Upload Date | September 02 2025 06:35 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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 | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2121
394.4 IPS |
|
|
Image Classification (HP)
|
100% |
17277
3.21 KIPS |
|
|
Image Classification (Q)
|
97% |
21917
4.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2361
38.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
22735
368.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
32350
524.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
17588
20.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
122467
142.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
231202
271.0 IPS |
|
|
Object Detection (SP)
|
100% |
2590
205.4 IPS |
|
|
Object Detection (HP)
|
100% |
19476
1.54 KIPS |
|
|
Object Detection (Q)
|
91% |
23590
1.88 KIPS |
|
|
Face Detection (SP)
|
100% |
4846
57.6 IPS |
|
|
Face Detection (HP)
|
100% |
44933
533.9 IPS |
|
|
Face Detection (Q)
|
100% |
64838
770.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8794
67.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
110332
850.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
173421
1.36 KIPS |
|
|
Style Transfer (SP)
|
100% |
26125
33.6 IPS |
|
|
Style Transfer (HP)
|
100% |
233175
299.7 IPS |
|
|
Style Transfer (Q)
|
96% |
297231
383.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6051
223.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45599
1.68 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77416
2.86 KIPS |
|
|
Text Classification (SP)
|
100% |
2946
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5487
7.32 KIPS |
|
|
Text Classification (Q)
|
93% |
5570
7.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
6039
104.0 IPS |
|
|
Machine Translation (HP)
|
100% |
16116
277.6 IPS |
|
|
Machine Translation (Q)
|
98% |
16641
287.6 IPS |
