MacBook Pro (16-inch, 2024)
Geekbench AI Score
6027
Single Precision Score
36667
Half Precision Score
49668
Quantized Score
Geekbench AI 1.5.0 Pro for macOS AArch64
Result Information
| User | f180n4cc1 |
| Upload Date | December 16 2025 02:38 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| Model | MacBook Pro (16-inch, 2024) |
| Model ID | Mac16,5 |
| Motherboard | Mac16,5 |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2191
407.4 IPS |
|
|
Image Classification (HP)
|
100% |
17284
3.21 KIPS |
|
|
Image Classification (Q)
|
97% |
20647
3.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2422
39.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
23017
373.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
31825
515.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
18342
21.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
122392
142.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
230607
270.3 IPS |
|
|
Object Detection (SP)
|
100% |
2737
217.1 IPS |
|
|
Object Detection (HP)
|
100% |
19411
1.54 KIPS |
|
|
Object Detection (Q)
|
91% |
23997
1.92 KIPS |
|
|
Face Detection (SP)
|
100% |
5301
63.0 IPS |
|
|
Face Detection (HP)
|
100% |
44309
526.5 IPS |
|
|
Face Detection (Q)
|
100% |
62999
748.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9061
69.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
104319
803.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
179723
1.41 KIPS |
|
|
Style Transfer (SP)
|
100% |
31327
40.3 IPS |
|
|
Style Transfer (HP)
|
100% |
231734
297.9 IPS |
|
|
Style Transfer (Q)
|
96% |
320064
413.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7195
265.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48459
1.79 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77572
2.86 KIPS |
|
|
Text Classification (SP)
|
100% |
3265
4.36 KIPS |
|
|
Text Classification (HP)
|
99% |
5623
7.51 KIPS |
|
|
Text Classification (Q)
|
93% |
5581
7.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
6718
115.7 IPS |
|
|
Machine Translation (HP)
|
100% |
15927
274.4 IPS |
|
|
Machine Translation (Q)
|
98% |
16015
276.8 IPS |
