MacBook Pro (16-inch, 2024)
Geekbench AI Score
5880
Single Precision Score
36606
Half Precision Score
49489
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | kirillmarchuk |
| Upload Date | January 12 2026 11:33 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D5087f) |
| 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 | 4.47 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2172
404.0 IPS |
|
|
Image Classification (HP)
|
100% |
17692
3.29 KIPS |
|
|
Image Classification (Q)
|
97% |
21301
3.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2411
39.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
23226
376.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
32409
525.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
17891
20.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
122398
142.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
230523
270.2 IPS |
|
|
Object Detection (SP)
|
100% |
2630
208.6 IPS |
|
|
Object Detection (HP)
|
100% |
19007
1.51 KIPS |
|
|
Object Detection (Q)
|
91% |
23771
1.90 KIPS |
|
|
Face Detection (SP)
|
100% |
5056
60.1 IPS |
|
|
Face Detection (HP)
|
100% |
44084
523.8 IPS |
|
|
Face Detection (Q)
|
100% |
62894
747.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8871
68.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
109559
844.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
174512
1.36 KIPS |
|
|
Style Transfer (SP)
|
100% |
31430
40.4 IPS |
|
|
Style Transfer (HP)
|
100% |
231356
297.4 IPS |
|
|
Style Transfer (Q)
|
96% |
319707
412.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7033
259.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47211
1.74 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78002
2.88 KIPS |
|
|
Text Classification (SP)
|
100% |
3182
4.25 KIPS |
|
|
Text Classification (HP)
|
99% |
5417
7.23 KIPS |
|
|
Text Classification (Q)
|
93% |
5375
7.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
6356
109.5 IPS |
|
|
Machine Translation (HP)
|
100% |
15818
272.5 IPS |
|
|
Machine Translation (Q)
|
98% |
15835
273.7 IPS |
