MacBook Pro (16-inch, 2024)
Geekbench AI Score
5760
Single Precision Score
36918
Half Precision Score
50876
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | ntompson |
| Upload Date | December 16 2024 10:37 PM |
| Views | 11 |
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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2082
387.2 IPS |
|
|
Image Classification (HP)
|
100% |
17698
3.29 KIPS |
|
|
Image Classification (Q)
|
97% |
23124
4.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2472
40.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
23279
377.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
32281
523.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
18841
22.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
123291
143.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
231083
270.8 IPS |
|
|
Object Detection (SP)
|
100% |
2487
197.3 IPS |
|
|
Object Detection (HP)
|
100% |
20527
1.63 KIPS |
|
|
Object Detection (Q)
|
91% |
24150
1.93 KIPS |
|
|
Face Detection (SP)
|
100% |
4536
53.9 IPS |
|
|
Face Detection (HP)
|
100% |
44627
530.3 IPS |
|
|
Face Detection (Q)
|
100% |
63701
756.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8794
67.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
106415
819.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
181228
1.42 KIPS |
|
|
Style Transfer (SP)
|
100% |
35376
45.5 IPS |
|
|
Style Transfer (HP)
|
100% |
238771
306.9 IPS |
|
|
Style Transfer (Q)
|
96% |
302479
390.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7027
259.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47200
1.74 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78628
2.90 KIPS |
|
|
Text Classification (SP)
|
100% |
2936
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5060
6.75 KIPS |
|
|
Text Classification (Q)
|
93% |
6227
8.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
5731
98.7 IPS |
|
|
Machine Translation (HP)
|
100% |
16659
287.0 IPS |
|
|
Machine Translation (Q)
|
98% |
16314
281.9 IPS |
