MacBook Pro (16-inch, 2024)
Geekbench AI Score
5770
Single Precision Score
37421
Half Precision Score
48731
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | abelim |
| Upload Date | January 06 2025 11:31 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | MacBook Pro (16-inch, 2024) |
| Model ID | Mac16,7 |
| Motherboard | Mac16,7 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2086
388.0 IPS |
|
|
Image Classification (HP)
|
100% |
17863
3.32 KIPS |
|
|
Image Classification (Q)
|
97% |
22145
4.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2456
39.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
23281
377.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
32166
521.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
18871
22.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
123388
144.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
231546
271.4 IPS |
|
|
Object Detection (SP)
|
100% |
2492
197.6 IPS |
|
|
Object Detection (HP)
|
100% |
20143
1.60 KIPS |
|
|
Object Detection (Q)
|
91% |
24161
1.93 KIPS |
|
|
Face Detection (SP)
|
100% |
4547
54.0 IPS |
|
|
Face Detection (HP)
|
100% |
44566
529.5 IPS |
|
|
Face Detection (Q)
|
100% |
54294
645.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8832
68.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
112400
866.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
180178
1.41 KIPS |
|
|
Style Transfer (SP)
|
100% |
35797
46.0 IPS |
|
|
Style Transfer (HP)
|
100% |
238924
307.1 IPS |
|
|
Style Transfer (Q)
|
96% |
305157
393.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6991
258.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46041
1.70 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79601
2.94 KIPS |
|
|
Text Classification (SP)
|
100% |
2938
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5789
7.73 KIPS |
|
|
Text Classification (Q)
|
93% |
4894
6.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
5759
99.2 IPS |
|
|
Machine Translation (HP)
|
100% |
16333
281.3 IPS |
|
|
Machine Translation (Q)
|
98% |
16296
281.6 IPS |
