MacBook Pro (14-inch, 2024)
Geekbench AI Score
5400
Single Precision Score
36269
Half Precision Score
49507
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 07 2025 02:50 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B5057f) |
| 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% |
1824
339.1 IPS |
|
|
Image Classification (HP)
|
100% |
17699
3.29 KIPS |
|
|
Image Classification (Q)
|
97% |
21636
4.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2325
37.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
23055
373.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
32322
524.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
17536
20.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
122787
143.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
229243
268.7 IPS |
|
|
Object Detection (SP)
|
100% |
2506
198.7 IPS |
|
|
Object Detection (HP)
|
100% |
20440
1.62 KIPS |
|
|
Object Detection (Q)
|
91% |
24119
1.93 KIPS |
|
|
Face Detection (SP)
|
100% |
4563
54.2 IPS |
|
|
Face Detection (HP)
|
100% |
43061
511.7 IPS |
|
|
Face Detection (Q)
|
100% |
63518
754.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8338
64.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
108346
834.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
181567
1.42 KIPS |
|
|
Style Transfer (SP)
|
100% |
28915
37.2 IPS |
|
|
Style Transfer (HP)
|
100% |
231301
297.3 IPS |
|
|
Style Transfer (Q)
|
96% |
319432
412.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7035
259.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49892
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78739
2.91 KIPS |
|
|
Text Classification (SP)
|
100% |
2693
3.59 KIPS |
|
|
Text Classification (HP)
|
99% |
4798
6.40 KIPS |
|
|
Text Classification (Q)
|
93% |
5429
7.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
5436
93.6 IPS |
|
|
Machine Translation (HP)
|
100% |
14890
256.5 IPS |
|
|
Machine Translation (Q)
|
98% |
14525
251.0 IPS |
