MacBook Pro (16-inch, 2024)
Geekbench AI Score
15371
Single Precision Score
16916
Half Precision Score
15385
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 23 2024 08:10 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7587
1.41 KIPS |
|
|
Image Classification (HP)
|
100% |
8110
1.51 KIPS |
|
|
Image Classification (Q)
|
97% |
6813
1.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12093
196.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
13121
212.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
13288
215.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
56728
66.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
59089
68.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
55820
65.4 IPS |
|
|
Object Detection (SP)
|
100% |
7166
568.4 IPS |
|
|
Object Detection (HP)
|
100% |
7696
610.5 IPS |
|
|
Object Detection (Q)
|
91% |
6414
512.5 IPS |
|
|
Face Detection (SP)
|
100% |
25309
300.7 IPS |
|
|
Face Detection (HP)
|
100% |
28580
339.6 IPS |
|
|
Face Detection (Q)
|
100% |
20763
246.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
33225
256.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
35732
275.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
29669
231.9 IPS |
|
|
Style Transfer (SP)
|
100% |
123771
159.1 IPS |
|
|
Style Transfer (HP)
|
100% |
135169
173.8 IPS |
|
|
Style Transfer (Q)
|
96% |
127062
164.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22848
843.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24517
905.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19632
724.9 IPS |
|
|
Text Classification (SP)
|
100% |
2921
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5087
6.79 KIPS |
|
|
Text Classification (Q)
|
93% |
5083
6.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
2842
48.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2303
39.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2935
50.7 IPS |
