MacBook Pro (16-inch, 2024)
Geekbench AI Score
3162
Single Precision Score
37457
Half Precision Score
49309
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 27 2024 10:36 PM |
| Views | 3 |
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 | 3.85 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
860
159.8 IPS |
|
|
Image Classification (HP)
|
100% |
18309
3.40 KIPS |
|
|
Image Classification (Q)
|
97% |
20845
3.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1462
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
23364
378.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
33177
537.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8331
9.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
120651
140.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
225562
264.4 IPS |
|
|
Object Detection (SP)
|
100% |
1106
87.8 IPS |
|
|
Object Detection (HP)
|
100% |
21317
1.69 KIPS |
|
|
Object Detection (Q)
|
91% |
23859
1.91 KIPS |
|
|
Face Detection (SP)
|
100% |
3199
38.0 IPS |
|
|
Face Detection (HP)
|
100% |
43103
512.2 IPS |
|
|
Face Detection (Q)
|
100% |
55210
656.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4884
37.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
107583
828.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
175491
1.37 KIPS |
|
|
Style Transfer (SP)
|
100% |
19039
24.5 IPS |
|
|
Style Transfer (HP)
|
100% |
231060
297.0 IPS |
|
|
Style Transfer (Q)
|
96% |
298263
384.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2903
107.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46364
1.71 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
81390
3.01 KIPS |
|
|
Text Classification (SP)
|
100% |
2763
3.69 KIPS |
|
|
Text Classification (HP)
|
100% |
5805
7.75 KIPS |
|
|
Text Classification (Q)
|
93% |
5794
7.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
3626
62.5 IPS |
|
|
Machine Translation (HP)
|
100% |
17137
295.2 IPS |
|
|
Machine Translation (Q)
|
98% |
16755
289.5 IPS |
