MacBook Pro (16-inch, 2024)
Geekbench AI Score
22306
Single Precision Score
24938
Half Precision Score
22296
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | May 06 2025 02:24 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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 | 4.50 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10616
1.97 KIPS |
|
|
Image Classification (HP)
|
100% |
10867
2.02 KIPS |
|
|
Image Classification (Q)
|
97% |
9037
1.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19807
321.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
20929
339.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
21621
350.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
107842
125.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
110749
129.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
104261
122.2 IPS |
|
|
Object Detection (SP)
|
100% |
9304
738.0 IPS |
|
|
Object Detection (HP)
|
100% |
10384
823.7 IPS |
|
|
Object Detection (Q)
|
91% |
8964
716.2 IPS |
|
|
Face Detection (SP)
|
100% |
41305
490.8 IPS |
|
|
Face Detection (HP)
|
100% |
43347
515.1 IPS |
|
|
Face Detection (Q)
|
100% |
32449
385.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
44998
346.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
48284
372.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
40905
319.7 IPS |
|
|
Style Transfer (SP)
|
100% |
223563
287.4 IPS |
|
|
Style Transfer (HP)
|
100% |
241358
310.3 IPS |
|
|
Style Transfer (Q)
|
96% |
222111
286.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30994
1.14 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
33802
1.25 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26665
984.6 IPS |
|
|
Text Classification (SP)
|
100% |
3040
4.06 KIPS |
|
|
Text Classification (HP)
|
100% |
5649
7.54 KIPS |
|
|
Text Classification (Q)
|
93% |
5719
7.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
3692
63.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3688
63.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3699
63.9 IPS |
