MacBook Pro (16-inch, 2024)
Geekbench AI Score
5710
Single Precision Score
37137
Half Precision Score
50399
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | topgun966 |
| Upload Date | February 11 2025 03:12 AM |
| Views | 8 |
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% |
2059
383.0 IPS |
|
|
Image Classification (HP)
|
100% |
17777
3.31 KIPS |
|
|
Image Classification (Q)
|
97% |
22462
4.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2447
39.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
23296
377.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
32406
525.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
18753
21.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
123131
143.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
231374
271.2 IPS |
|
|
Object Detection (SP)
|
100% |
2445
194.0 IPS |
|
|
Object Detection (HP)
|
100% |
20499
1.63 KIPS |
|
|
Object Detection (Q)
|
91% |
24806
1.98 KIPS |
|
|
Face Detection (SP)
|
100% |
4503
53.5 IPS |
|
|
Face Detection (HP)
|
100% |
44441
528.1 IPS |
|
|
Face Detection (Q)
|
100% |
63950
759.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8755
67.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
111185
856.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
180884
1.41 KIPS |
|
|
Style Transfer (SP)
|
100% |
35036
45.0 IPS |
|
|
Style Transfer (HP)
|
100% |
237549
305.4 IPS |
|
|
Style Transfer (Q)
|
96% |
301691
389.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6975
257.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47445
1.75 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79631
2.94 KIPS |
|
|
Text Classification (SP)
|
100% |
2928
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5067
6.76 KIPS |
|
|
Text Classification (Q)
|
93% |
5518
7.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
5658
97.5 IPS |
|
|
Machine Translation (HP)
|
100% |
16917
291.4 IPS |
|
|
Machine Translation (Q)
|
98% |
16506
285.2 IPS |
