MacBook Pro (14-inch, 2024)
Geekbench AI Score
5761
Single Precision Score
37117
Half Precision Score
49520
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 28 2024 02:48 PM |
| Views | 4 |
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 (14-inch, 2024) |
| Model ID | Mac16,8 |
| Motherboard | Mac16,8 |
| 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% |
2077
386.3 IPS |
|
|
Image Classification (HP)
|
100% |
17280
3.21 KIPS |
|
|
Image Classification (Q)
|
97% |
22230
4.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2453
39.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
23180
375.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
32149
521.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
18867
22.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
123437
144.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
230978
270.7 IPS |
|
|
Object Detection (SP)
|
100% |
2486
197.2 IPS |
|
|
Object Detection (HP)
|
100% |
19850
1.57 KIPS |
|
|
Object Detection (Q)
|
91% |
23734
1.90 KIPS |
|
|
Face Detection (SP)
|
100% |
4579
54.4 IPS |
|
|
Face Detection (HP)
|
100% |
44525
529.0 IPS |
|
|
Face Detection (Q)
|
100% |
64225
763.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8777
67.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
111573
859.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
177075
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
35640
45.8 IPS |
|
|
Style Transfer (HP)
|
100% |
238418
306.5 IPS |
|
|
Style Transfer (Q)
|
96% |
300376
387.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7044
260.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46473
1.72 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
76317
2.82 KIPS |
|
|
Text Classification (SP)
|
100% |
2927
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5575
7.44 KIPS |
|
|
Text Classification (Q)
|
93% |
5390
7.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
5714
98.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16479
283.9 IPS |
|
|
Machine Translation (Q)
|
98% |
16110
278.4 IPS |
