MacBook Pro (16-inch, 2024)
Geekbench AI Score
5949
Single Precision Score
38505
Half Precision Score
52724
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | cmacera |
| Upload Date | March 15 2026 02:35 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| Model | MacBook Pro (16-inch, 2024) |
| Model ID | Mac16,5 |
| Motherboard | Mac16,5 |
| 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% |
2187
406.8 IPS |
|
|
Image Classification (HP)
|
100% |
19753
3.67 KIPS |
|
|
Image Classification (Q)
|
97% |
25071
4.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2435
39.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
23525
381.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
32346
524.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
17961
21.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
123331
143.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
233638
273.8 IPS |
|
|
Object Detection (SP)
|
100% |
2658
210.9 IPS |
|
|
Object Detection (HP)
|
100% |
21610
1.71 KIPS |
|
|
Object Detection (Q)
|
91% |
26678
2.13 KIPS |
|
|
Face Detection (SP)
|
100% |
5247
62.3 IPS |
|
|
Face Detection (HP)
|
100% |
45513
540.8 IPS |
|
|
Face Detection (Q)
|
100% |
65261
775.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8998
69.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
110651
852.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
183386
1.43 KIPS |
|
|
Style Transfer (SP)
|
100% |
30912
39.7 IPS |
|
|
Style Transfer (HP)
|
100% |
234022
300.8 IPS |
|
|
Style Transfer (Q)
|
96% |
323327
417.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7112
262.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49977
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83800
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3254
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
5636
7.52 KIPS |
|
|
Text Classification (Q)
|
93% |
5520
7.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
6472
111.5 IPS |
|
|
Machine Translation (HP)
|
100% |
17427
300.2 IPS |
|
|
Machine Translation (Q)
|
98% |
18349
317.1 IPS |
