MacBook Pro (16-inch, 2024)
Geekbench AI Score
5761
Single Precision Score
38004
Half Precision Score
50609
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | icreatefrance |
| Upload Date | December 11 2024 06:21 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C100) |
| 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 | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2082
387.1 IPS |
|
|
Image Classification (HP)
|
100% |
17949
3.34 KIPS |
|
|
Image Classification (Q)
|
97% |
22556
4.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2471
40.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
23219
376.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
32253
522.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
18857
22.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
123270
143.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
231092
270.9 IPS |
|
|
Object Detection (SP)
|
100% |
2482
196.9 IPS |
|
|
Object Detection (HP)
|
100% |
20413
1.62 KIPS |
|
|
Object Detection (Q)
|
91% |
24692
1.97 KIPS |
|
|
Face Detection (SP)
|
100% |
4520
53.7 IPS |
|
|
Face Detection (HP)
|
100% |
44798
532.3 IPS |
|
|
Face Detection (Q)
|
100% |
60904
723.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8762
67.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
108870
838.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
178314
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
35387
45.5 IPS |
|
|
Style Transfer (HP)
|
100% |
237997
305.9 IPS |
|
|
Style Transfer (Q)
|
96% |
303425
391.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7064
260.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46867
1.73 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79641
2.94 KIPS |
|
|
Text Classification (SP)
|
100% |
2954
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
6486
8.66 KIPS |
|
|
Text Classification (Q)
|
93% |
5895
7.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
5724
98.6 IPS |
|
|
Machine Translation (HP)
|
100% |
16989
292.6 IPS |
|
|
Machine Translation (Q)
|
98% |
17164
296.6 IPS |
