MacBook Pro (16-inch, 2024)
Geekbench AI Score
5740
Single Precision Score
37884
Half Precision Score
49735
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 27 2024 10:30 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B2091) |
| 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% |
2068
384.6 IPS |
|
|
Image Classification (HP)
|
100% |
17760
3.30 KIPS |
|
|
Image Classification (Q)
|
97% |
22250
4.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2472
40.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
23208
376.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
32698
530.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
18843
22.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
124563
145.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
230197
269.8 IPS |
|
|
Object Detection (SP)
|
100% |
2453
194.6 IPS |
|
|
Object Detection (HP)
|
100% |
21094
1.67 KIPS |
|
|
Object Detection (Q)
|
91% |
24158
1.93 KIPS |
|
|
Face Detection (SP)
|
100% |
4546
54.0 IPS |
|
|
Face Detection (HP)
|
100% |
44628
530.3 IPS |
|
|
Face Detection (Q)
|
100% |
64080
761.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8650
66.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
108757
837.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
177625
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
35758
46.0 IPS |
|
|
Style Transfer (HP)
|
100% |
238679
306.8 IPS |
|
|
Style Transfer (Q)
|
96% |
299837
386.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7045
260.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47462
1.75 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
81962
3.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2929
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
6249
8.34 KIPS |
|
|
Text Classification (Q)
|
93% |
4975
6.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
5668
97.6 IPS |
|
|
Machine Translation (HP)
|
100% |
16368
281.9 IPS |
|
|
Machine Translation (Q)
|
98% |
16450
284.3 IPS |
