MacBook Pro (16-inch, 2024)
Geekbench AI Score
17073
Single Precision Score
18945
Half Precision Score
17810
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | hrichl |
| Upload Date | May 03 2025 07:01 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7859
1.46 KIPS |
|
|
Image Classification (HP)
|
100% |
8240
1.53 KIPS |
|
|
Image Classification (Q)
|
96% |
7521
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14567
236.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
15094
244.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
14315
232.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
56246
65.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
58900
68.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
57196
67.0 IPS |
|
|
Object Detection (SP)
|
100% |
7458
591.6 IPS |
|
|
Object Detection (HP)
|
100% |
7572
600.6 IPS |
|
|
Object Detection (Q)
|
92% |
7275
580.7 IPS |
|
|
Face Detection (SP)
|
100% |
26647
316.6 IPS |
|
|
Face Detection (HP)
|
100% |
27767
329.9 IPS |
|
|
Face Detection (Q)
|
100% |
23087
274.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
34918
269.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
36908
284.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
33344
260.7 IPS |
|
|
Style Transfer (SP)
|
100% |
125627
161.5 IPS |
|
|
Style Transfer (HP)
|
100% |
135395
174.1 IPS |
|
|
Style Transfer (Q)
|
96% |
134278
173.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23030
850.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24734
913.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21522
794.7 IPS |
|
|
Text Classification (SP)
|
100% |
2889
3.86 KIPS |
|
|
Text Classification (HP)
|
100% |
5168
6.90 KIPS |
|
|
Text Classification (Q)
|
93% |
5268
7.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
5635
97.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6055
104.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6118
105.7 IPS |
